[MINOR][PYTHON][TESTS] Update test_arrow_udf_output_timestamps_ltz to check the timezone conversion

### What changes were proposed in this pull request?
Update `test_arrow_udf_output_timestamps_ltz` to check the timezone conversion

### Why are the changes needed?
to make sure that arrow udf need to properly handle the timezone by itself

### Does this PR introduce _any_ user-facing change?
no, test-only

### How was this patch tested?
ci

### Was this patch authored or co-authored using generative AI tooling?
no

Closes #52675 from zhengruifeng/refine_ts_ltz_test.

Authored-by: Ruifeng Zheng <[email protected]>
Signed-off-by: Ruifeng Zheng <[email protected]>

Author: zhengruifeng

python/pyspark/sql/tests/arrow/test_arrow_udf_scalar.py

@@ -348,8 +348,11 @@ def extract_second(d):
         )
 
     def test_arrow_udf_output_timestamps_ltz(self):
+        from zoneinfo import ZoneInfo
         import pyarrow as pa
 
+        tz = self.spark.conf.get("spark.sql.session.timeZone")
+
         df = self.spark.sql(
             """
             SELECT * FROM VALUES
@@ -371,18 +374,18 @@ def build_ts(y, m, d, h, mi, s):
                     int(h[i].as_py()),
                     int(mi[i].as_py()),
                     int(s[i].as_py()),
-                    tzinfo=datetime.timezone.utc,
-                )
+                    tzinfo=ZoneInfo(tz),
+                ).astimezone(datetime.timezone.utc)
                 for i in range(len(y))
             ]
             return pa.array(dates, pa.timestamp("us", "UTC"))
 
         result = df.select(build_ts("y", "m", "d", "h", "mi", "s").alias("ts"))
         self.assertEqual(
             [
-                Row(ts=datetime.datetime(2022, 1, 5, 7, 0, 1)),
-                Row(ts=datetime.datetime(2023, 2, 6, 8, 1, 2)),
-                Row(ts=datetime.datetime(2024, 3, 7, 9, 2, 3)),
+                Row(ts=datetime.datetime(2022, 1, 5, 15, 0, 1)),
+                Row(ts=datetime.datetime(2023, 2, 6, 16, 1, 2)),
+                Row(ts=datetime.datetime(2024, 3, 7, 17, 2, 3)),
             ],
             result.collect(),
         )