As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
This French born, French trained chef and his creative partners offer a taste fresh, locally sourced, fabulously prepared food in the most unlikely of locations.
Postion	Tokenization
1	This
2	French
3	born
4	,
5	French
6	trained
7	chef
8	and
9	his
10	creative
11	partners
12	offer
13	a
14	taste
15	fresh
16	,
17	locally
18	sourced
19	,
20	fabulously
21	prepared
22	food
23	in
24	the
25	most
26	unlikely
27	of
28	locations
29	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	7	det
2	French	ADJ	3	amod
3	born	VERB	7	amod
4	,	PUNCT	7	punct
5	French	ADJ	6	amod
6	trained	VERB	7	amod
7	chef	NOUN	12	nsubj
8	and	CCONJ	11	cc
9	his	PRON	11	nmod:poss
10	creative	ADJ	11	amod
11	partners	NOUN	7	conj
12	offer	VERB	0	root
13	a	DET	22	compound
14	taste	NOUN	12	obj
15	fresh	ADJ	22	amod
16	,	PUNCT	22	punct
17	locally	ADV	18	advmod
18	sourced	VERB	22	amod
19	,	PUNCT	22	punct
20	fabulously	ADV	21	advmod
21	prepared	VERB	22	amod
22	food	NOUN	12	obj
23	in	ADP	26	case
24	the	DET	26	det
25	most	ADV	26	advmod
26	unlikely	ADJ	12	obl
27	of	ADP	28	case
28	locations	NOUN	26	obl
29	.	PUNCT	12	punct