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: Alimentum is a family friendly burger joint that is cheap.
Example Output: name[Alimentum], food[Fast food], priceRange[less than £20], area[riverside], familyFriendly[yes]

Example Input: Strada offers low quality Indian food at a cost of less than £20 in a non-family friendly atmosphere near Rainbow Vegetarian Café.
Example Output: name[Strada], food[Indian], priceRange[less than £20], customer rating[low], familyFriendly[no], near[Rainbow Vegetarian Café]

Example Input: The Punter is a coffee shop, which offers Indian food, within a cheap price range. It has a 5 out of 5 customer rating, but it is not family friendly. I t is located near Café Sicilia.
Example Output:
name[The Punter], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[5 out of 5], familyFriendly[no], near[Café Sicilia]