### Apache Airflow version

main (development)

### What happened

The DataprocCreateBatchOperator (Google provider) handles the case when a batch_id already exists in the Dataproc API by 'reattaching' to a potentially running job.  

Current reattachment logic uses the non-deferrable method even when the operator is in deferrable mode.  

### What you think should happen instead

The operator should reattach in deferrable mode. 

### How to reproduce

Create a DAG with a task of DataprocCreateBatchOperator that is long running.  Make DataprocCreateBatchOperator deferrable in the constructor.  

Restart local Airflow to simulate having to 'reattach' to a running job in Google Cloud Dataproc. 

The operator resumes using the running job but in the code path for the non-derferrable logic.  

### Operating System

macOS 13.4.1 (22F82)

### Versions of Apache Airflow Providers

Current main.

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

job_template = self.create_job_template()
        
        if os.path.isfile(self.main):
            cluster_info = self.hook.get_cluster(
                project_id=self.project_id, region=self.region, cluster_name=self.cluster_name
            )
            bucket = cluster_info["config"]["config_bucket"]
            self.main = self._upload_file_temp(bucket, self.main)
        job_template.set_python_main(self.main)
        job_template.add_args(self.arguments)
        job_template.add_archive_uris(self.archives)
        job_template.add_file_uris(self.files)
        job_template.add_python_file_uris(self.pyfiles)
        super().execute(context)
class DataprocCreateWorkflowTemplateOperator(GoogleCloudBaseOperator):
    """Creates new workflow template.
    :param project_id: Optional. The ID of the Google Cloud project the cluster belongs to.
    :param region: Required. The Cloud Dataproc region in which to handle the request.
    :param template: The Dataproc workflow template to create. If a dict is provided,
        it must be of the same form as the protobuf message WorkflowTemplate.
    :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be
        retried.
    :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
        ``retry`` is specified, the timeout applies to each individual attempt.
    :param metadata: Additional metadata that is provided to the method.
    """
    template_fields: Sequence[str] = ("region", "template")
    template_fields_renderers = {"template": "json"}
    operator_extra_links = (DataprocLink(),)
    def __init__(