### 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)

self.result_retry = result_retry
        self.timeout = timeout
        self.metadata = metadata
        self.gcp_conn_id = gcp_conn_id
        self.impersonation_chain = impersonation_chain
        self.operation: operation.Operation | None = None
        self.asynchronous = asynchronous
        self.deferrable = deferrable
        self.polling_interval_seconds = polling_interval_seconds
    def execute(self, context: Context):
        hook = DataprocHook(gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain)
        
        if self.batch_id:
            link = DATAPROC_BATCH_LINK.format(
                region=self.region, project_id=self.project_id, resource=self.batch_id
            )
            self.log.info("Creating batch %s", self.batch_id)
            self.log.info("Once started, the batch job will be available at %s", link)
        else:
            self.log.info("Starting batch job. The batch ID will be generated since it was not provided.")
        if self.region is None:
            raise AirflowException("Region should be set here")
        try:
            self.operation = hook.create_batch(
                region=self.region,
                project_id=self.project_id,
                batch=self.batch,
                batch_id=self.batch_id,
                request_id=self.request_id,
                retry=self.retry,