### 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)

if not self.deferrable:
            super().execute(context=context)
        else:
            hook = BigQueryHook(gcp_conn_id=self.gcp_conn_id)
            job = self._submit_job(hook, job_id="")
            context["ti"].xcom_push(key="job_id", value=job.job_id)
            if job.running():
                self.defer(
                    timeout=self.execution_timeout,
                    trigger=BigQueryValueCheckTrigger(
                        conn_id=self.gcp_conn_id,
                        job_id=job.job_id,
                        project_id=hook.project_id,
                        sql=self.sql,
                        pass_value=self.pass_value,
                        tolerance=self.tol,
                        poll_interval=self.poll_interval,
                    ),
                    method_name="execute_complete",
                )
            self._handle_job_error(job)
            self.log.info("Current state of job %s is %s", job.job_id, job.state)
    @staticmethod
    def _handle_job_error(job: BigQueryJob | UnknownJob) -> None: