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:
VéloCité est là pour promouvoir les moyens alternatifs de déplacement dans la ville de Besançon comme le vélo et les transports en commun de l'agglomération plus respectueux du cadre de vie que la place prépondérante de la voiture dans la ville.
Postion	Tokenization
1	VéloCité
2	est
3	là
4	pour
5	promouvoir
6	les
7	moyens
8	alternatifs
9	de
10	déplacement
11	dans
12	la
13	ville
14	de
15	Besançon
16	comme
17	le
18	vélo
19	et
20	les
21	transports
22	en
23	commun
24	de
25	l'
26	agglomération
27	plus
28	respectueux
29	du
30	de
31	le
32	cadre
33	de
34	vie
35	que
36	la
37	place
38	prépondérante
39	de
40	la
41	voiture
42	dans
43	la
44	ville
45	.
Position	Tokenization	UPOS	Head	Deprel
1	VéloCité	PROPN	2	nsubj
2	est	VERB	0	root
3	là	ADV	2	obl:arg
4	pour	ADP	5	mark
5	promouvoir	VERB	2	advcl
6	les	DET	7	det
7	moyens	NOUN	5	obj
8	alternatifs	ADJ	7	amod
9	de	ADP	10	case
10	déplacement	NOUN	7	nmod
11	dans	ADP	13	case
12	la	DET	13	det
13	ville	NOUN	10	nmod
14	de	ADP	15	case
15	Besançon	PROPN	13	nmod
16	comme	ADP	18	case
17	le	DET	18	det
18	vélo	NOUN	7	nmod
19	et	CCONJ	21	cc
20	les	DET	21	det
21	transports	NOUN	18	conj
22	en	ADP	21	advmod
23	commun	ADJ	22	fixed
24	de	ADP	26	case
25	l'	DET	26	det
26	agglomération	NOUN	21	nmod
27	plus	ADV	28	advmod
28	respectueux	ADJ	7	amod
29	du	_	None	_
30	de	ADP	31	case
31	le	DET	31	det
32	cadre	NOUN	28	obl:arg
33	de	ADP	33	case
34	vie	NOUN	31	nmod
35	que	SCONJ	36	case
36	la	DET	36	det
37	place	NOUN	27	obj
38	prépondérante	ADJ	36	amod
39	de	ADP	40	case
40	la	DET	40	det
41	voiture	NOUN	36	nmod
42	dans	ADP	43	case
43	la	DET	43	det
44	ville	NOUN	36	nmod
45	.	PUNCT	2	punct