[Bug]: Long running DoFn.Setup methods lead to job failure in Dataflow Java legacy runner.

### What happened?

Work status reporting starts before the main work execution within [BatchDataflowWorker#executeWork](https://github.com/apache/beam/blob/v2.56.0/runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/BatchDataflowWorker.java#L301). The `DataflowWorkExecutor` is created via `DataflowMapTaskExecutorFactory#create` in [BatchDataflowWorker#doWork](https://github.com/apache/beam/blob/v2.56.0/runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/BatchDataflowWorker.java#L252) before the work status report starts.

During this `DataflowWorkExecutor` creation, `DoFn` instances are initiated, and their `Setup` methods are invoked. See the stack trace below.

```
... (skipped) ...
at baeminbo.LongSetupPipeline$LongSetupDoFn.setup(LongSetupPipeline.java:46)
at baeminbo.LongSetupPipeline$LongSetupDoFn$DoFnInvoker.invokeSetup(Unknown Source)
at org.apache.beam.sdk.transforms.reflect.DoFnInvokers.tryInvokeSetupFor(DoFnInvokers.java:53) <--
at org.apache.beam.runners.dataflow.worker.DoFnInstanceManagers$ConcurrentQueueInstanceManager.deserializeCopy(DoFnInstanceManagers.java:86)
at org.apache.beam.runners.dataflow.worker.DoFnInstanceManagers$ConcurrentQueueInstanceManager.peek(DoFnInstanceManagers.java:68)
at org.apache.beam.runners.dataflow.worker.UserParDoFnFactory.create(UserParDoFnFactory.java:100)
at org.apache.beam.runners.dataflow.worker.DefaultParDoFnFactory.create(DefaultParDoFnFactory.java:75)
at org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.createParDoOperation(IntrinsicMapTaskExecutorFactory.java:248)
at org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.access$000(IntrinsicMapTaskExecutorFactory.java:80)
at org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:167)
at org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:149)
at org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:67)
at org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:54)
at org.apache.beam.runners.dataflow.worker.graph.Networks.replaceDirectedNetworkNodes(Networks.java:91)
at org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.create(IntrinsicMapTaskExecutorFactory.java:109)
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:252) <--
at org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:206)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:150)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:130)
at org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:117)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829)
```

Therefore, long running `Setup` methods delays the initial work status report. If no work status is reported within 3 mins, the work item fails with lease expiration. 4 times of failure for the same work item cause the entire job to fail.

This issue can be fixed by starting the work status report before the `DataflowWorkExecutor` creation.

b/401034290

### Issue Priority

Priority: 2 (default / most bugs should be filed as P2)

### Issue Components

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