fix: add utc=True to pd.to_datetime for timezone-aware datetimes

When processing timezone-aware datetime columns from database query
results, pandas requires the utc=True parameter to properly convert
timezone-aware datetime objects to datetime64.

This fixes the production error:
ValueError: Tz-aware datetime.datetime cannot be converted to
datetime64 unless utc=True

The fix ensures that timezone information is preserved when converting
query results to PyArrow tables.

Author: aminghadersohi

superset/result_set.py

@@ -170,7 +170,7 @@ def __init__(  # pylint: disable=too-many-locals  # noqa: C901
                             if sample.tzinfo:
                                 tz = sample.tzinfo
                                 series = pd.Series(array[column])
-                                series = pd.to_datetime(series)
+                                series = pd.to_datetime(series, utc=True)
                                 pa_data[i] = pa.Array.from_pandas(
                                     series,
                                     type=pa.timestamp("ns", tz=tz),