### 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)

:param gcs_schema_object: Full path to the JSON file containing
        schema (templated). For
        example: ``gs://test-bucket/dir1/dir2/employee_schema.json``
    :param time_partitioning: configure optional time partitioning fields i.e.
        partition by field, type and  expiration as per API specifications.
        .. seealso::
            https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#timePartitioning
    :param gcp_conn_id: [Optional] The connection ID used to connect to Google Cloud and
        interact with the Bigquery service.
    :param google_cloud_storage_conn_id: [Optional] The connection ID used to connect to Google Cloud.
        and interact with the Google Cloud Storage service.
    :param labels: a dictionary containing labels for the table, passed to BigQuery
    **Example (with schema JSON in GCS)**::
        CreateTable = BigQueryCreateEmptyTableOperator(
            task_id='BigQueryCreateEmptyTableOperator_task',
            dataset_id='ODS',
            table_id='Employees',
            project_id='internal-gcp-project',
            gcs_schema_object='gs://schema-bucket/employee_schema.json',
            gcp_conn_id='airflow-conn-id',
            google_cloud_storage_conn_id='airflow-conn-id'
        )
    **Corresponding Schema file** (``employee_schema.json``)::
        [
            {
            "mode": "NULLABLE",
            "name": "emp_name",
            "type": "STRING"
            },
            {