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: In the city centre located near to Yippee Noodle Bar is a Chinese restaurant called Alimentum. Despite being a cheap place to eat it's customers recommend it and gave it a rating of 5 out of 5.
Example Output: name[Alimentum], food[Chinese], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[Yippee Noodle Bar]

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: The Blue Spice is located in the city centre, with a moderate price range and a customer rating of 1 out of 5 that is not kids friendly.
Example Output:
name[Blue Spice], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no]