### 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)

default_project_id=bq_hook.project_id or "",
        )
        table_resource = {
            "tableReference": {
                "projectId": project_id,
                "datasetId": dataset_id,
                "tableId": table_id,
            },
            "labels": self.labels,
            "schema": {"fields": schema_fields},
            "externalDataConfiguration": {
                "source_uris": source_uris,
                "source_format": self.source_format,
                "maxBadRecords": self.max_bad_records,
                "autodetect": self.autodetect,
                "compression": self.compression,
                "csvOptions": {
                    "fieldDelimiter": self.field_delimiter,
                    "skipLeadingRows": self.skip_leading_rows,
                    "quote": self.quote_character,
                    "allowQuotedNewlines": self.allow_quoted_newlines,
                    "allowJaggedRows": self.allow_jagged_rows,
                },
            },
            "location": self.location,
            "encryptionConfiguration": self.encryption_configuration,
        }
        table = bq_hook.create_empty_table(
            table_resource=table_resource,
        )