update the changes.md by adding 2.65.0 (#34369)

Author: liferoad

CHANGES.md

@@ -54,17 +54,51 @@
 * ([#X](https://github.com/apache/beam/issues/X)).
 -->
 
-# [2.64.0] - Unreleased
+# [2.65.0] - Unreleased
 
 ## Highlights
 
-* Managed API for [Java](https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/managed/Managed.html) and [Python](https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.managed.html#module-apache_beam.transforms.managed) supports [key I/O connectors](https://beam.apache.org/documentation/io/connectors/) Iceberg, Kafka, and BigQuery.
 * New highly anticipated feature X added to Python SDK ([#X](https://github.com/apache/beam/issues/X)).
 * New highly anticipated feature Y added to Java SDK ([#Y](https://github.com/apache/beam/issues/Y)).
 
 ## I/Os
 
 * Support for X source added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)).
+
+## New Features / Improvements
+
+* X feature added (Java/Python) ([#X](https://github.com/apache/beam/issues/X)).
+
+## Breaking Changes
+
+* X behavior was changed ([#X](https://github.com/apache/beam/issues/X)).
+
+## Deprecations
+
+* X behavior is deprecated and will be removed in X versions ([#X](https://github.com/apache/beam/issues/X)).
+
+## Bugfixes
+
+* Fixed X (Java/Python) ([#X](https://github.com/apache/beam/issues/X)).
+
+## Security Fixes
+* Fixed (CVE-YYYY-NNNN)[https://www.cve.org/CVERecord?id=CVE-YYYY-NNNN] (Java/Python/Go) ([#X](https://github.com/apache/beam/issues/X)).
+
+## Known Issues
+
+[comment]: # ( When updating known issues after release, make sure also update website blog in website/www/site/content/blog.)
+* ([#X](https://github.com/apache/beam/issues/X)).
+
+# [2.64.0] - Ongoing Release
+
+## Highlights
+
+* Managed API for [Java](https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/managed/Managed.html) and [Python](https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.managed.html#module-apache_beam.transforms.managed) supports [key I/O connectors](https://beam.apache.org/documentation/io/connectors/) Iceberg, Kafka, and BigQuery.
+* New highly anticipated feature X added to Python SDK ([#X](https://github.com/apache/beam/issues/X)).
+* New highly anticipated feature Y added to Java SDK ([#Y](https://github.com/apache/beam/issues/Y)).
+
+## I/Os
+
 * [Java] Use API compatible with both com.google.cloud.bigdataoss:util 2.x and 3.x in BatchLoads ([#34105](https://github.com/apache/beam/pull/34105))
 * [IcebergIO] Added new CDC source for batch and streaming, available as `Managed.ICEBERG_CDC` ([#33504](https://github.com/apache/beam/pull/33504))
 * [IcebergIO] Address edge case where bundle retry following a successful data commit results in data duplication ([#34264](https://github.com/apache/beam/pull/34264))
@@ -84,11 +118,6 @@
 * [Python] Reshuffle now correctly respects user-specified type hints, fixing a previous bug where it might use FastPrimitivesCoder wrongly. This change could break pipelines with incorrect type hints in Reshuffle. If you have issues after upgrading, temporarily set update_compatibility_version to a previous Beam version to use the old behavior. The recommended solution is to fix the type hints in your code. ([#33932](https://github.com/apache/beam/pull/33932))
 * [Java] SparkReceiver 2 has been moved to SparkReceiver 3 that supports Spark 3.x. ([#33574](https://github.com/apache/beam/pull/33574))
 * [Python] Correct parsing of `collections.abc.Sequence` type hints was added, which can lead to pipelines failing type hint checks that were previously passing erroneously. These issues will be most commonly seen trying to consume a PCollection with a `Sequence` type hint after a GroupByKey or a CoGroupByKey. ([#33999](https://github.com/apache/beam/pull/33999).
-* X behavior was changed ([#X](https://github.com/apache/beam/issues/X)).
-
-## Deprecations
-
-* X behavior is deprecated and will be removed in X versions ([#X](https://github.com/apache/beam/issues/X)).
 
 ## Bugfixes
 
@@ -99,15 +128,6 @@
 * Fixed checkpoint recovery and streaming behavior in Spark Classic and Portable runner's Flatten transform by replacing queueStream with SingleEmitInputDStream ([#34080](https://github.com/apache/beam/pull/34080), [#18144](https://github.com/apache/beam/issues/18144), [#20426](https://github.com/apache/beam/issues/20426))
 * (Java) Fixed Read caching of UnboundedReader objects to effectively cache across multiple DoFns and avoid checkpointing unstarted reader. [#34146](https://github.com/apache/beam/pull/34146) [#33901](https://github.com/apache/beam/pull/33901)
 
-
-## Security Fixes
-* Fixed (CVE-YYYY-NNNN)[https://www.cve.org/CVERecord?id=CVE-YYYY-NNNN] (Java/Python/Go) ([#X](https://github.com/apache/beam/issues/X)).
-
-## Known Issues
-
-[comment]: # ( When updating known issues after release, make sure also update website blog in website/www/site/content/blog.)
-* ([#X](https://github.com/apache/beam/issues/X)).
-
 # [2.63.0] - 2025-02-18
 
 ## I/Os