Based on prior knowledge, we can analyze the relationship between the feature "GT_POST" (Paroxysms of ventricular tachycardia at the time of admission to the intensive care unit) and the task of determining if the patient has chronic heart failure.

To analyze this relationship, we would need data that includes both the "GT_POST" feature and information on whether the patient has chronic heart failure. By examining the values of "GT_POST" for patients with and without chronic heart failure, we can determine if there is any correlation between the feature and the target.

Here is an example of how the dictionary would look like:

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

In this example, the values of "GT_POST" for patients without chronic heart failure are all "no", while the values for patients with chronic heart failure include both "yes" and "no".

Please note that this is just a hypothetical example, and the actual relationship between the feature and the target would depend on the data and analysis conducted.