### 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)

self,
        region: str,
        project_id: str,
        batch: dict | Batch,
        batch_id: str | None = None,
        request_id: str | None = None,
        retry: Retry | _MethodDefault = DEFAULT,
        timeout: float | None = None,
        metadata: Sequence[tuple[str, str]] = (),
    ) -> AsyncOperation:
        """
        Creates a batch workload.
        :param project_id: Required. The ID of the Google Cloud project that the cluster belongs to.
        :param region: Required. The Cloud Dataproc region in which to handle the request.
        :param batch: Required. The batch to create.
        :param batch_id: Optional. The ID to use for the batch, which will become the final component
            of the batch's resource name.
            This value must be 4-63 characters. Valid characters are /[a-z][0-9]-/.
        :param request_id: Optional. A unique id used to identify the request. If the server receives two
            ``CreateBatchRequest`` 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.
        """