### Apache Airflow version

main (development)

### What happened

The provider operator for Google Cloud Dataproc Batches has two bugs: 

1. The running [operator](https://github.com/apache/airflow/blob/main/airflow/providers/google/cloud/operators/dataproc.py#L2123-L2124) returns successful even if the job transitions to State.CANCELLED or State.CANCELLING 
2. It [attempts](https://github.com/apache/airflow/blob/main/airflow/providers/google/cloud/operators/dataproc.py#L2154) to 'reattach' to a potentially running job if it AlreadyExists, but it sends the wrong type since 'result' is a Batch and needs Operation

### What you think should happen instead

A new hook that polls for batch job completion.  There is precedent for it in traditional dataproc with 'wait_for_job'.

### How to reproduce

Use the Breeze environment and a DAG that runs DataprocCreateBatchOperator.  Allow the first instance to start. 

Use the gcloud CLI to cancel the job. 

`gcloud dataproc batches cancel <batch_id> --project <project_id> --region <region>`

Observe that the task completes successfully after a 3-5 minute timeout, even though the job was cancelled. 

Run the task again with the same batch_id.  Observe the ValueError where it expects Operation but receives Batch



### Operating System

Darwin 5806 21.6.0 Darwin Kernel Version 21.6.0: Mon Aug 22 20:17:10 PDT 2022; root:xnu-8020.140.49~2/RELEASE_X86_64 x86_64

### Versions of Apache Airflow Providers

Same as dev (main) version. 

### Deployment

Other Docker-based deployment

### Deployment details

Observable in the Breeze environment, when running against real Google Infrastructure. 

### Anything else

Every time. 

### 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)

:param labels: Labels that will be assigned to created cluster
        :param cluster_config: Required. The cluster config to create.
            If a dict is provided, it must be of the same form as the protobuf message
            :class:`~google.cloud.dataproc_v1.types.ClusterConfig`
        :param virtual_cluster_config: Optional. The virtual cluster config, used when creating a Dataproc
            cluster that does not directly control the underlying compute resources, for example, when
            creating a `Dataproc-on-GKE cluster`
            :class:`~google.cloud.dataproc_v1.types.VirtualClusterConfig`
        :param request_id: Optional. A unique id used to identify the request. If the server receives two
            ``CreateClusterRequest`` requests with the same id, then the second request will be ignored and
            the first ``google.longrunning.Operation`` created and stored in the backend is returned.
        :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.
        """
        
        
        
        labels = labels or {}
        labels.update({"airflow-version": "v" + airflow_version.replace(".", "-").replace("+", "-")})
        cluster = {
            "project_id": project_id,
            "cluster_name": cluster_name,
        }
        if virtual_cluster_config is not None:
            cluster["virtual_cluster_config"] = virtual_cluster_config  
        if cluster_config is not None:
            cluster["config"] = cluster_config