### 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)

dataset_reference=self.dataset_reference,
                location=self.location,
                exists_ok=self.if_exists == IfExistAction.IGNORE,
            )
            persist_kwargs = {
                "context": context,
                "task_instance": self,
                "project_id": dataset["datasetReference"]["projectId"],
                "dataset_id": dataset["datasetReference"]["datasetId"],
            }
        except Conflict:
            dataset_id = self.dataset_reference.get("datasetReference", {}).get("datasetId", self.dataset_id)
            project_id = self.dataset_reference.get("datasetReference", {}).get(
                "projectId", self.project_id or bq_hook.project_id
            )
            persist_kwargs = {
                "context": context,
                "task_instance": self,
                "project_id": project_id,
                "dataset_id": dataset_id,
            }
            error_msg = f"Dataset {dataset_id} already exists."
            if self.if_exists == IfExistAction.LOG:
                self.log.info(error_msg)
            elif self.if_exists == IfExistAction.FAIL:
                raise AirflowException(error_msg)
            else:
                raise AirflowSkipException(error_msg)
        BigQueryDatasetLink.persist(**persist_kwargs)
class BigQueryGetDatasetOperator(GoogleCloudBaseOperator):