Based on the feature description and the task, the feature "MP_TP_POST" represents whether the patient had paroxysms of atrial fibrillation at the time of admission to the intensive care unit or at a prehospital stage. We want to analyze whether this feature has a relationship with the presence of chronic heart failure in the patient.

To conduct the analysis, we need data that includes information about the presence or absence of chronic heart failure and the values of the "MP_TP_POST" feature for each patient. With this data, we can compare the values of "MP_TP_POST" for patients with and without chronic heart failure to determine if there is a relationship.

Unfortunately, without actual data, it is not possible to analyze the relationship between the feature "MP_TP_POST" and chronic heart failure. However, I can provide an example of how the dictionary output would look like if we had the data:

```json
{
	"no": ["no", "no", "yes"],
	"yes": ["yes", "no", "yes"]
}
```

In this example, we have three patients with chronic heart failure, and their corresponding "MP_TP_POST" values are provided. The first and third patients with chronic heart failure had paroxysms of atrial fibrillation, while the second patient did not.

Please note that without actual data, it is impossible to accurately determine the relationship between the feature and the task.