### 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)

"""Execute the given checks on the table."""
        hook = self.get_db_hook()
        job = self._submit_job(hook, job_id="")
        context["ti"].xcom_push(key="job_id", value=job.job_id)
        records = job.result().to_dataframe()
        if records.empty:
            raise AirflowException(f"The following query returned zero rows: {self.sql}")
        records.columns = records.columns.str.lower()
        self.log.info("Record:\n%s", records)
        for row in records.iterrows():
            check = row[1].get("check_name")
            result = row[1].get("check_result")
            self.checks[check]["success"] = _parse_boolean(str(result))
        failed_tests = [
            f"\tCheck: {check},\n\tCheck Values: {check_values}\n"
            for check, check_values in self.checks.items()
            if not check_values["success"]
        ]
        if failed_tests:
            exception_string = (
                f"Test failed.\nQuery:\n{self.sql}\nResults:\n{records!s}\n"
                f"The following tests have failed:\n{', '.join(failed_tests)}"
            )
            self._raise_exception(exception_string)
        self.log.info("All tests have passed")
class BigQueryGetDataOperator(GoogleCloudBaseOperator):