Based on my prior knowledge, there is a possibility that obesity in the anamnesis (endocr_02) can be related to the occurrence of chronic heart failure. To determine the relationship between endocr_02 and the presence of chronic heart failure, we need to analyze its values for both target classes.

Let's analyze the relationship between endocr_02 and chronic heart failure (target variable):

For patients without chronic heart failure (target class: no), the possible values of endocr_02 could be any value except 'yes'. Since endocr_02 represents obesity in the anamnesis, patients without chronic heart failure could have a history of obesity or not. Therefore, the possible values of endocr_02 for the target class "no" are ['no'].

For patients with chronic heart failure (target class: yes), the possible values of endocr_02 could also be any value except 'no'. Patients with chronic heart failure could have a history of obesity or not. Therefore, the possible values of endocr_02 for the target class "yes" are ['no', 'yes'].

Based on this analysis, the dictionary representing the relationship between the feature endocr_02 and the target variable chronic heart failure would be:

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

Please note that this analysis assumes that the feature endocr_02 is directly related to the target variable chronic heart failure. However, further analysis and domain knowledge would be required to validate this assumption.