### 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)

config = "gce_cluster_config"
        if self.zone:
            zone_uri = f"https://www.googleapis.com/compute/v1/projects/{self.project_id}/zones/{self.zone}"
            cluster_data[config]["zone_uri"] = zone_uri
        if self.metadata:
            cluster_data[config]["metadata"] = self.metadata
        if self.network_uri:
            cluster_data[config]["network_uri"] = self.network_uri
        if self.subnetwork_uri:
            cluster_data[config]["subnetwork_uri"] = self.subnetwork_uri
        if self.internal_ip_only:
            if not self.subnetwork_uri:
                raise AirflowException("Set internal_ip_only to true only when you pass a subnetwork_uri.")
            cluster_data[config]["internal_ip_only"] = True
        if self.tags:
            cluster_data[config]["tags"] = self.tags
        if self.service_account:
            cluster_data[config]["service_account"] = self.service_account
        if self.service_account_scopes:
            cluster_data[config]["service_account_scopes"] = self.service_account_scopes
        return cluster_data
    def _build_lifecycle_config(self, cluster_data):