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:
L'analyse par graphes de visibilité (Visibility Graph Analysis ou VGA en anglais) est une méthode d'analyse des connexions d'inter-visibilité au sein d'un espace architectural ou urbain.
Postion	Tokenization
1	L'
2	analyse
3	par
4	graphes
5	de
6	visibilité
7	(
8	Visibility
9	Graph
10	Analysis
11	ou
12	VGA
13	en
14	anglais
15	)
16	est
17	une
18	méthode
19	d'
20	analyse
21	des
22	de
23	les
24	connexions
25	d'
26	inter-visibilité
27	au
28	à
29	le
30	sein
31	d'
32	un
33	espace
34	architectural
35	ou
36	urbain
37	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	analyse	NOUN	18	nsubj
3	par	ADP	4	case
4	graphes	NOUN	2	nmod
5	de	ADP	6	case
6	visibilité	NOUN	4	nmod
7	(	PUNCT	8	punct
8	Visibility	PROPN	2	appos
9	Graph	PROPN	8	flat:name
10	Analysis	PROPN	9	flat:name
11	ou	CCONJ	12	cc
12	VGA	X	8	appos
13	en	ADP	14	case
14	anglais	NOUN	8	nmod
15	)	PUNCT	8	punct
16	est	AUX	18	cop
17	une	DET	18	det
18	méthode	NOUN	0	root
19	d'	ADP	20	case
20	analyse	NOUN	18	nmod
21	des	_	None	_
22	de	ADP	23	case
23	les	DET	23	det
24	connexions	NOUN	20	nmod
25	d'	ADP	25	case
26	inter-visibilité	NOUN	23	nmod
27	au	_	None	_
28	à	ADP	28	case
29	le	DET	28	det
30	sein	NOUN	23	nmod
31	d'	ADP	31	case
32	un	DET	31	det
33	espace	NOUN	28	nmod
34	architectural	ADJ	31	amod
35	ou	CCONJ	34	cc
36	urbain	ADJ	32	conj
37	.	PUNCT	18	punct