### Apache Airflow Provider(s)

cncf-kubernetes

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes==5.2.1

### Apache Airflow version

2.5.1

### Operating System

Arch Linux

### Deployment

Other

### Deployment details

_No response_

### What happened

Not really showing a failure in operation, but the code in the [`KubernetesPodOperator._render_nested_template_fields`](https://github.com/apache/airflow/blob/d26dc223915c50ff58252a709bb7b33f5417dfce/airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py#L373-L403) function could be improved.

The current code is formed by 6 conditionals checking the type of the `content` variable. Even when the 1st of the succeed, the other 5 conditionals are still checked, which is inefficient because the function could end right there, saving time and resources.


### What you think should happen instead

The conditionals flow could be fixed with a simple map, using a dictionary to immediately get the value or fallback to the default one.

### How to reproduce

There is no bug _per se_ to reproduce. It's just making the code cleaner and more efficient, avoiding to keep computing conditionals even when the condition has been resolved.

### 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)

convert_affinity,
    convert_configmap,
    convert_env_vars,
    convert_image_pull_secrets,
    convert_pod_runtime_info_env,
    convert_port,
    convert_toleration,
    convert_volume,
    convert_volume_mount,
)
from airflow.providers.cncf.kubernetes.hooks.kubernetes import KubernetesHook
from airflow.providers.cncf.kubernetes.triggers.kubernetes_pod import KubernetesPodTrigger
from airflow.providers.cncf.kubernetes.utils import xcom_sidecar  
from airflow.providers.cncf.kubernetes.utils.pod_manager import (
    PodLaunchFailedException,
    PodManager,
    PodPhase,
    get_container_termination_message,
)
from airflow.settings import pod_mutation_hook
from airflow.utils import yaml
from airflow.utils.helpers import prune_dict, validate_key
from airflow.utils.timezone import utcnow
from airflow.version import version as airflow_version
if TYPE_CHECKING:
    import jinja2
    from airflow.utils.context import Context
alphanum_lower = string.ascii_lowercase + string.digits
KUBE_CONFIG_ENV_VAR = "KUBECONFIG"
def _rand_str(num):