In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: Fitzbillies has a high price range and is located near Rainbow Vegetarian Café.
Example Output: name[Fitzbillies], priceRange[high], near[Rainbow Vegetarian Café]

Example Input: The Golden Curry is a non family friendly Indian restaurant  with an average rating located in the riverside area near Café Rouge.
Example Output: name[The Golden Curry], food[Indian], customer rating[average], area[riverside], familyFriendly[no], near[Café Rouge]

Example Input: Look for Cotto - an Italian restaurant near Ranch. It is kid-friendly and has a high customer rating.
Example Output:
name[Cotto], food[Italian], customer rating[high], familyFriendly[yes], near[Ranch]

