Update the release notes. (#36566)

* Update the release notes.

* Update CHANGES.md

Author: tvalentyn

CHANGES.md

@@ -114,17 +114,17 @@
 * Added official support for Python 3.13 ([#34869](https://github.com/apache/beam/issues/34869)).
 * Added an optional output_schema verification to all YAML transforms ([#35952](https://github.com/apache/beam/issues/35952)).
 * Support for encryption when using GroupByKey added, along with `--gbek` pipeline option to automatically replace all GroupByKey transforms (Java/Python) ([#36214](https://github.com/apache/beam/issues/36214)).
+* In Python SDK, the `--element_processing_timeout_minutes` option will also interrupt the SDK process if slowness happens during DoFn initialization, for example in `DoFn.setup()` ([#36518](https://github.com/apache/beam/issues/36518)).
 
 ## Breaking Changes
 
-* X behavior was changed ([#X](https://github.com/apache/beam/issues/X)).
 * (Python) `dill` is no longer a required, default dependency for Apache Beam ([#21298](https://github.com/apache/beam/issues/21298)).
   - This change only affects pipelines that explicitly use the `pickle_library=dill` pipeline option.
   - While `dill==0.3.1.1` is still pre-installed on the official Beam SDK base images, it is no longer a direct dependency of the apache-beam Python package. This means it can be overridden by other dependencies in your environment.
   - If your pipeline uses `pickle_library=dill`, you must manually ensure `dill==0.3.1.1` is installed in both your submission and runtime environments.
     - Submission environment: Install the dill extra in your local environment `pip install apache-beam[gcpdill]`.
     - Runtime (worker) environment: Your action depends on how you manage your worker's environment.
-      - If using default containers or custom containers with the official Beam base image e.g. `FROM apache/beam_python3.10_sdk:2.69`
+      - If using default containers or custom containers with the official Beam base image e.g. `FROM apache/beam_python3.10_sdk:2.69.0`
         - Add `dill==0.3.1.1` to your worker's requirements file (e.g., requirements.txt)
         - Pass this file to your pipeline using the --requirements_file requirements.txt pipeline option (For more details see [managing Dataflow dependencies](https://cloud.google.com/dataflow/docs/guides/manage-dependencies#py-custom-containers)).
       - If custom containers with a non-Beam base image e.g. `FROM python:3.9-slim`
@@ -142,10 +142,6 @@
 * (Java) DoFn OutputReceiver now requires implementing a builder method as part of extended metadata support for elements ([#34902](https://github.com/apache/beam/issues/34902)).
 * (Java) Removed ProcessContext outputWindowedValue introduced in 2.68 that allowed setting offset and record Id. Use OutputReceiver's builder to set those field ([#36523]https://github.com/apache/beam/pull/36523).
 
-## 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)).