```json
{
  "no": ["no"],
  "yes": ["yes"]
}
```
Based on the provided feature description, the feature n_r_ecg_p_08 represents the presence of paroxysms of supraventricular tachycardia on the ECG at the time of admission to the hospital. The feature is a categorical variable with two possible categories: 'no' and 'yes'.

To determine if the myocardial infarction complications data of this patient show chronic heart failure, we can analyze the relationship between the feature n_r_ecg_p_08 and the target variable.

In this case, there is only one possible value for the feature n_r_ecg_p_08: 'no' or 'yes'. Thus, for the target class 'no', the only possible value of n_r_ecg_p_08 is 'no', and for the target class 'yes', the only possible value of n_r_ecg_p_08 is 'yes'.

Therefore, the dictionary representation for the relationship between the feature n_r_ecg_p_08 and the task "Does the myocardial infarction complications data of this patient show chronic heart failure?" would be:

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

Please note that if there are other possible values for the feature n_r_ecg_p_08 that were not mentioned in the task or provided information, they are not included in the dictionary to avoid false predictions.