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: Green Man, Not family-friendly.  Price Range: less than £20.  Italian Food.  Near All Bar One.  Area is Riverside.
Example Output: name[Green Man], food[Italian], priceRange[less than £20], area[riverside], familyFriendly[no], near[All Bar One]

Example Input: Near Café Rouge is Midsummer House. It is a 5 star English food restaurant.
Example Output: name[Midsummer House], food[English], customer rating[5 out of 5], near[Café Rouge]

Example Input: A cheap coffee shop near Café Sicilia is The Punter. It is not family Friendly .
Example Output:
name[The Punter], eatType[coffee shop], food[Italian], priceRange[less than £20], customer rating[low], familyFriendly[no], near[Café Sicilia]