```json
{
	"no": ["no"], 
	"yes": ["yes"]
}
```
Since the feature "ritm_ecg_p_02" represents the ECG rhythm at the time of admission to the hospital, and the target task is to determine whether the patient shows chronic heart failure, the analysis of the relationship between these two is straightforward.

In this case, there are only two possible categories for the feature: "no" (indicating no atrial fibrillation) and "yes" (indicating atrial fibrillation). It is important to note that atrial fibrillation can be a contributing factor to chronic heart failure. 

Based on this analysis, the relationship between the feature "ritm_ecg_p_02" and the target task of determining chronic heart failure is as follows:
- If the value of "ritm_ecg_p_02" is "no", it suggests that the patient does not have atrial fibrillation, which could indicate a lower likelihood of chronic heart failure.
- If the value of "ritm_ecg_p_02" is "yes", it suggests that the patient does have atrial fibrillation, indicating a higher likelihood of chronic heart failure.

Hence, the dictionary provided shows the possible values of the feature "ritm_ecg_p_02" for each target class.