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:
Le terrain est très bien situé près de voies majeures de transport, une gare de trains de banlieue de l'AMT (Bois-Franc) vers le centre-ville de Montréal et du métro Côte-Vertu.
Postion	Tokenization
1	Le
2	terrain
3	est
4	très
5	bien
6	situé
7	près
8	de
9	voies
10	majeures
11	de
12	transport
13	,
14	une
15	gare
16	de
17	trains
18	de
19	banlieue
20	de
21	l'
22	AMT
23	(
24	Bois-Franc
25	)
26	vers
27	le
28	centre-ville
29	de
30	Montréal
31	et
32	du
33	de
34	le
35	métro
36	Côte-Vertu
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	terrain	NOUN	6	nsubj
3	est	AUX	6	aux:tense
4	très	ADV	5	advmod
5	bien	ADV	6	advmod
6	situé	VERB	0	root
7	près	ADV	6	obl:arg
8	de	ADP	9	case
9	voies	NOUN	7	obl:arg
10	majeures	ADJ	9	amod
11	de	ADP	12	case
12	transport	NOUN	9	nmod
13	,	PUNCT	15	punct
14	une	DET	15	det
15	gare	NOUN	9	conj
16	de	ADP	17	case
17	trains	NOUN	15	nmod
18	de	ADP	19	case
19	banlieue	NOUN	17	nmod
20	de	ADP	22	case
21	l'	DET	22	det
22	AMT	PROPN	17	nmod
23	(	PUNCT	24	punct
24	Bois-Franc	PROPN	15	appos
25	)	PUNCT	24	punct
26	vers	ADP	28	case
27	le	DET	28	det
28	centre-ville	NOUN	17	nmod
29	de	ADP	30	case
30	Montréal	PROPN	28	nmod
31	et	CCONJ	34	cc
32	du	_	None	_
33	de	ADP	34	case
34	le	DET	34	det
35	métro	NOUN	9	conj
36	Côte-Vertu	PROPN	34	appos
37	.	PUNCT	6	punct