### 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)

def get_db_hook(self: BigQueryCheckOperator) -> BigQueryHook:  
        """Get BigQuery DB Hook."""
        return BigQueryHook(
            gcp_conn_id=self.gcp_conn_id,
            use_legacy_sql=self.use_legacy_sql,
            location=self.location,
            impersonation_chain=self.impersonation_chain,
            labels=self.labels,
        )
class _BigQueryOpenLineageMixin:
    def get_openlineage_facets_on_complete(self, task_instance):
        """
        Retrieve OpenLineage data for a COMPLETE BigQuery job.
        This method retrieves statistics for the specified job_ids using the BigQueryDatasetsProvider.
        It calls BigQuery API, retrieving input and output dataset info from it, as well as run-level
        usage statistics.
        Run facets should contain:
            - ExternalQueryRunFacet
            - BigQueryJobRunFacet
        Job facets should contain:
            - SqlJobFacet if operator has self.sql
        Input datasets should contain facets:
            - DataSourceDatasetFacet
            - SchemaDatasetFacet
        Output datasets should contain facets:
            - DataSourceDatasetFacet
            - SchemaDatasetFacet
            - OutputStatisticsOutputDatasetFacet
        """
        from openlineage.client.facet import SqlJobFacet