### 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)

"""Add an "already checked" annotation to ensure we don't reattach on retries"""
        with _optionally_suppress(reraise=reraise):
            pod.metadata.labels[self.POD_CHECKED_KEY] = "True"
            body = PodGenerator.serialize_pod(pod)
            self.client.patch_namespaced_pod(pod.metadata.name, pod.metadata.namespace, body)
    def on_kill(self) -> None:
        if self.pod:
            pod = self.pod
            kwargs = dict(
                name=pod.metadata.name,
                namespace=pod.metadata.namespace,
            )
            if self.termination_grace_period is not None:
                kwargs.update(grace_period_seconds=self.termination_grace_period)
            self.client.delete_namespaced_pod(**kwargs)
    def build_pod_request_obj(self, context: Context | None = None) -> k8s.V1Pod:
        """
        Returns V1Pod object based on pod template file, full pod spec, and other operator parameters.
        The V1Pod attributes are derived (in order of precedence) from operator params, full pod spec, pod
        template file.
        """
        self.log.debug("Creating pod for KubernetesPodOperator task %s", self.task_id)
        if self.pod_template_file:
            self.log.debug("Pod template file found, will parse for base pod")
            pod_template = pod_generator.PodGenerator.deserialize_model_file(self.pod_template_file)
            if self.full_pod_spec: