### 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)

from openlineage.common.provider.bigquery import BigQueryDatasetsProvider
        from airflow.providers.openlineage.extractors import OperatorLineage
        from airflow.providers.openlineage.utils.utils import normalize_sql
        if not self.job_id:
            return OperatorLineage()
        client = self.hook.get_client(project_id=self.hook.project_id)
        job_ids = self.job_id
        if isinstance(self.job_id, str):
            job_ids = [self.job_id]
        inputs, outputs, run_facets = {}, {}, {}
        for job_id in job_ids:
            stats = BigQueryDatasetsProvider(client=client).get_facets(job_id=job_id)
            for input in stats.inputs:
                input = input.to_openlineage_dataset()
                inputs[input.name] = input
            if stats.output:
                output = stats.output.to_openlineage_dataset()
                outputs[output.name] = output
            for key, value in stats.run_facets.items():
                run_facets[key] = value
        job_facets = {}
        if hasattr(self, "sql"):
            job_facets["sql"] = SqlJobFacet(query=normalize_sql(self.sql))
        return OperatorLineage(
            inputs=list(inputs.values()),
            outputs=list(outputs.values()),
            run_facets=run_facets,
            job_facets=job_facets,
        )
class BigQueryCheckOperator(_BigQueryDbHookMixin, SQLCheckOperator):