[SPARK-53358] Improve arrow Python UDTF output type mismatch error message

### What changes were proposed in this pull request?

This PR updates the error message when output type mismatch required type for arrow python UDTFs to make it more user friendly.

### Why are the changes needed?

Improve error message to make it more actionable.
 Before this change:
```pyspark.errors.exceptions.base.PySparkRuntimeError: [UDTF_ARROW_TYPE_CONVERSION_ERROR] Cannot convert the output value of the input '[
  0
]' with type 'struct<x:int>' to the specified return type of the column: 'struct<x: int32>'. Please check if the data types match and try again.
```
After this change:
```
 PyArrow UDTF must return an iterator of pyarrow.Table or pyarrow.RecordBatch objects.
```

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Existing UTs

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #52103 from allisonwang-db/spark-53358-arrow-udtf-err-msg.

Authored-by: Allison Wang <allison.wang@databricks.com>
Signed-off-by: Allison Wang <allison.wang@databricks.com>

Author: allisonwang-db

python/pyspark/errors/error-conditions.json

@@ -1146,7 +1146,7 @@
   },
   "UDTF_ARROW_TYPE_CONVERSION_ERROR": {
     "message": [
-      "Cannot convert the output value of the input '<data>' with type '<schema>' to the specified return type of the column: '<arrow_schema>'. Please check if the data types match and try again."
+      "PyArrow UDTF must return an iterator of pyarrow.Table or pyarrow.RecordBatch objects."
     ]
   },
   "UDTF_CONSTRUCTOR_INVALID_IMPLEMENTS_ANALYZE_METHOD": {

python/pyspark/worker.py

@@ -2066,11 +2066,7 @@ def convert_to_arrow(data: Iterable):
                         # Arrow UDTF should only return Arrow types (RecordBatch/Table)
                         raise PySparkRuntimeError(
                             errorClass="UDTF_ARROW_TYPE_CONVERSION_ERROR",
-                            messageParameters={
-                                "data": str(item),
-                                "schema": return_type.simpleString(),
-                                "arrow_schema": str(arrow_return_type),
-                            },
+                            messageParameters={},
                         )
                 return batches