### Apache Airflow version

2.3.0

### What happened

Here i provide steps to reproduce this.

Goal of this: to describe how to reproduce the "Failed to Adopt pod" error condition.

The DAG->step Described Below should be of type KubernetesPodOperator

NOTE: under normal operation,
(where the MAIN_AIRFLOW_POD is never recycled by k8s, we will never see this edge-case)
(it is only when the workerPod is still running, but the MAIN_AIRFLOW_POD is suddenly restarted/stopped)
(that we would see orphan->workerPods)

1] Implement a contrived-DAG, with a single step -> which is long-running (e.g. 6 minutes)
2] Deploy your airflow-2.1.4 / airfow-2.3.0 together with the contrived-DAG
3] Run your contrived-DAG.
4] in the middle of running the single-step, check via "kubectl" that your Kubernetes->workerPod has been created / running
5] while workerPod still running, do "kubectl delete pod <OF_MAIN_AIRFLOW_POD>". This will mean that the workerPod becomes an orphan.
6] the workerPod still continues to run through to completion. after which the K8S->status of the pod will be Completed, however the pod doesn't shut down itself.
7] "kubectl" start up a new <MAIN_AIRFLOW_POD> so the web-ui is running again.
8] MAIN_AIRFLOW_POD->webUi - Run your contrived-DAG again
9] while the contrived-DAG is starting/tryingToStart etc, you will see in the logs printed out "Failed to adopt pod" -> with 422 error code.

The step-9 with the error message, you will find two appearances of this error msg in the airflow-2.1.4, airflow-2.3.0 source-code.
The step-7 may also - general logging from the MAIN_APP - may also output the "Failed to adopt pod" error message also.



### What you think should happen instead

On previous versions of airflow e.g. 1.10.x, the orphan-workerPods would be adopted by the 2nd run-time of the airflowMainApp and either used to continue the same DAG and/or cleared away when complete.

This is not happening with the newer airflow 2.1.4 / 2.3.0 (presumably because the code changed), and upon the 2nd run-time of the airflowMainApp - it would seem to try to adopt-workerPod but fails at that point ("Failed to adopt pod" in the logs and hence it cannot clear away orphan pods).

Given this is an edge-case only, (i.e. we would not expect k8s to be recycling the main airflowApp/pod anyway), it doesn't seem totally urgent bug. However, the only reason for me raising this issue with yourselves is that given any k8s->namespace, in particular in PROD,   over time (e.g. 1 month?) the namespace will slowly be being filled up with orphanPods and somebody would need to manually log-in to delete old pods.

### How to reproduce

Here i provide steps to reproduce this.

Goal of this: to describe how to reproduce the "Failed to Adopt pod" error condition.

The DAG->step Described Below should be of type KubernetesPodOperator

NOTE: under normal operation,
(where the MAIN_AIRFLOW_POD is never recycled by k8s, we will never see this edge-case)
(it is only when the workerPod is still running, but the MAIN_AIRFLOW_POD is suddenly restarted/stopped)
(that we would see orphan->workerPods)

1] Implement a contrived-DAG, with a single step -> which is long-running (e.g. 6 minutes)
2] Deploy your airflow-2.1.4 / airfow-2.3.0 together with the contrived-DAG
3] Run your contrived-DAG.
4] in the middle of running the single-step, check via "kubectl" that your Kubernetes->workerPod has been created / running
5] while workerPod still running, do "kubectl delete pod <OF_MAIN_AIRFLOW_POD>". This will mean that the workerPod becomes an orphan.
6] the workerPod still continues to run through to completion. after which the K8S->status of the pod will be Completed, however the pod doesn't shut down itself.
7] "kubectl" start up a new <MAIN_AIRFLOW_POD> so the web-ui is running again.
8] MAIN_AIRFLOW_POD->webUi - Run your contrived-DAG again
9] while the contrived-DAG is starting/tryingToStart etc, you will see in the logs printed out "Failed to adopt pod" -> with 422 error code.

The step-9 with the error message, you will find two appearances of this error msg in the airflow-2.1.4, airflow-2.3.0 source-code.
The step-7 may also - general logging from the MAIN_APP - may also output the "Failed to adopt pod" error message also.



### Operating System

kubernetes

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other 3rd-party Helm chart

### Deployment details

nothing special.

it (CI/CD pipeline) builds the app. using requirements.txt to pull-in all the required python dependencies (including there is a dependency for the airflow-2.1.4 / 2.3.0)

it (CI/CD pipeline) packages the app as an ECR image & then deploy directly to k8s namespace.

### Anything else

this is 100% reproducible each & every time.
i have tested this multiple times.

also - i tested this on the old airflow-1.10.x a couple of times to verify that the bug did not exist previously

### Are you willing to submit PR?

- [ ] 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)

@patch(HOOK_CLASS)
    def test_async_create_pod_xcom_push_should_execute_successfully(
        self, mocked_hook, mock_manager, mocked_extract, post_complete_action, do_xcom_push
    ):
        mocked_hook.return_value.get_pod.return_value = MagicMock()
        mock_manager.return_value.await_pod_completion.return_value = MagicMock()
        k = KubernetesPodOperator(
            task_id="task",
            do_xcom_push=do_xcom_push,
            get_logs=False,
            deferrable=True,
        )
        context = create_context(k)
        context["ti"] = MagicMock()
        k.execute_complete(
            context=context,
            event={
                "status": "success",
                "message": TEST_SUCCESS_MESSAGE,
                "name": TEST_NAME,
                "namespace": TEST_NAMESPACE,
            },
        )
        if do_xcom_push:
            mocked_extract.assert_called_once()
            post_complete_action.assert_called_once()
        else:
            mocked_extract.assert_not_called()
    @patch(HOOK_CLASS)
    def test_async_xcom_sidecar_container_image_default_should_execute_successfully(self, hook_mock):