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:
Gros Mené ne présentera qu'un seul spectacle dans cette région avant que Fortin n'entre en studio, dans un chalet de Saint-Félicien, mais plutôt avec Olivier Langevin comme guitariste.
Postion	Tokenization
1	Gros
2	Mené
3	ne
4	présentera
5	qu'
6	un
7	seul
8	spectacle
9	dans
10	cette
11	région
12	avant
13	que
14	Fortin
15	n'
16	entre
17	en
18	studio
19	,
20	dans
21	un
22	chalet
23	de
24	Saint-Félicien
25	,
26	mais
27	plutôt
28	avec
29	Olivier
30	Langevin
31	comme
32	guitariste
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Gros	PROPN	4	nsubj
2	Mené	PROPN	1	flat:name
3	ne	ADV	4	advmod
4	présentera	VERB	0	root
5	qu'	ADV	8	advmod
6	un	DET	8	det
7	seul	ADJ	8	amod
8	spectacle	NOUN	4	obj
9	dans	ADP	11	case
10	cette	DET	11	det
11	région	NOUN	4	obl:mod
12	avant	ADP	16	mark
13	que	SCONJ	16	mark
14	Fortin	PROPN	16	nsubj
15	n'	ADV	16	advmod
16	entre	VERB	4	advcl
17	en	ADP	18	case
18	studio	NOUN	16	obl:mod
19	,	PUNCT	22	punct
20	dans	ADP	22	case
21	un	DET	22	det
22	chalet	NOUN	16	obl:mod
23	de	ADP	24	case
24	Saint-Félicien	PROPN	22	nmod
25	,	PUNCT	29	punct
26	mais	CCONJ	29	cc
27	plutôt	ADV	29	advmod
28	avec	ADP	29	case
29	Olivier	PROPN	4	conj
30	Langevin	PROPN	29	flat:name
31	comme	ADP	32	case
32	guitariste	NOUN	29	nmod
33	.	PUNCT	4	punct