### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

Airflow version: 2.5.3
Description: While using BigQueryCreateExternalTableOperator, when we to create external table on top of parquet files located in GCS, airflow shows below error:
google.api_core.exceptions.BadRequest: 400 POST ... failed. CsvOptions can only be specified if storage format is CSV.

No csvOptions are mentioned while passing the source_format as Parquet. There seems to be an issue with bigquery.py hook.

### What you think should happen instead

_No response_

### How to reproduce

While using BigQueryCreateExternalTableOperator, try to create external table on top of parquet files located in GCS. Sample usage:
`create_external_table = BigQueryCreateExternalTableOperator(
    task_id="create_external_table",
    destination_project_dataset_table="table_name",
    bucket=GCS_BUCKET_NAME,
    source_objects=[<list of URIs of parquet files>],
    source_format="PARQUET",
    autodetect=True,
    gcp_conn_id="gcp_conn_id",
    google_cloud_storage_conn_id="test_conn_id",
)`

### Operating System

-

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""Executing a sql which returns a non-boolean value should raise exception"""
        test_sql = "SELECT * FROM any"
        operator = BigQueryCheckOperator(
            task_id="bq_check_operator_execute_complete",
            sql=test_sql,
            location=TEST_DATASET_LOCATION,
            deferrable=True,
        )
        expected_exception_msg = f"Test failed.\nQuery:\n{test_sql}\nResults:\n{[20, False]!s}"
        with pytest.raises(AirflowException) as exc:
            operator.execute_complete(context=None, event={"status": "success", "records": [20, False]})
        assert str(exc.value) == expected_exception_msg
    def test_bigquery_check_operator_execute_complete(self):
        """Asserts that logging occurs as expected"""
        operator = BigQueryCheckOperator(
            task_id="bq_check_operator_execute_complete",
            sql="SELECT * FROM any",
            location=TEST_DATASET_LOCATION,
            deferrable=True,
        )
        with mock.patch.object(operator.log, "info") as mock_log_info:
            operator.execute_complete(context=None, event={"status": "success", "records": [20]})
        mock_log_info.assert_called_with("Success.")
class TestBigQueryValueCheckOperator: