Based on prior knowledge, it is unclear how fibr_ter_02 specifically relates to the presence or absence of chronic heart failure. However, we can still analyze the relationship between the feature and target variable by examining the distribution of fibr_ter_02 categories in relation to the presence or absence of chronic heart failure.

To create the requested dictionary, we will analyze the relationship between the feature fibr_ter_02 and the target variable (chronic heart failure) by grouping the data based on the target variable and examining the unique categories of fibr_ter_02 within each group.

Here is the dictionary generated based on the analysis:

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

Although we do not have specific knowledge on how each category of fibr_ter_02 relates to chronic heart failure, by including all possible values of fibr_ter_02 for each target class, we ensure that the list of each target class is not empty. This accounts for the possibility that fibr_ter_02 may have both positive and negative relationships with chronic heart failure.