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:
Cela explique que l'utilisateur ne dispose que de trois « vitesses » (un seul plateau, pignon à trois positions) et peinera à escalader les pentes de Montjuïc ou du Tibidabo.
Postion	Tokenization
1	Cela
2	explique
3	que
4	l'
5	utilisateur
6	ne
7	dispose
8	que
9	de
10	trois
11	«
12	vitesses
13	»
14	(
15	un
16	seul
17	plateau
18	,
19	pignon
20	à
21	trois
22	positions
23	)
24	et
25	peinera
26	à
27	escalader
28	les
29	pentes
30	de
31	Montjuïc
32	ou
33	du
34	de
35	le
36	Tibidabo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Cela	PRON	2	nsubj
2	explique	VERB	0	root
3	que	SCONJ	7	mark
4	l'	DET	5	det
5	utilisateur	NOUN	7	nsubj
6	ne	ADV	7	advmod
7	dispose	VERB	2	ccomp:obj
8	que	ADV	12	advmod
9	de	ADP	12	case
10	trois	NUM	12	nummod
11	«	PUNCT	12	punct
12	vitesses	NOUN	7	obl:arg
13	»	PUNCT	12	punct
14	(	PUNCT	17	punct
15	un	DET	17	det
16	seul	ADJ	17	amod
17	plateau	NOUN	12	appos
18	,	PUNCT	19	punct
19	pignon	NOUN	17	conj
20	à	ADP	22	case
21	trois	NUM	22	nummod
22	positions	NOUN	19	nmod
23	)	PUNCT	17	punct
24	et	CCONJ	25	cc
25	peinera	VERB	7	conj
26	à	ADP	27	mark
27	escalader	VERB	25	xcomp:obl
28	les	DET	29	det
29	pentes	NOUN	27	obj
30	de	ADP	31	case
31	Montjuïc	PROPN	29	nmod
32	ou	CCONJ	35	cc
33	du	_	None	_
34	de	ADP	35	case
35	le	DET	35	det
36	Tibidabo	PROPN	31	conj
37	.	PUNCT	2	punct