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:
» D'autres suivirent et vinrent y passer leurs vacances, comme François Mauriac en voisin, Roland Dorgelès ou Pierre Benoit pour bénéficier de la brise qui rafraîchit l'air.
Postion	Tokenization
1	»
2	D'
3	autres
4	suivirent
5	et
6	vinrent
7	y
8	passer
9	leurs
10	vacances
11	,
12	comme
13	François
14	Mauriac
15	en
16	voisin
17	,
18	Roland
19	Dorgelès
20	ou
21	Pierre
22	Benoit
23	pour
24	bénéficier
25	de
26	la
27	brise
28	qui
29	rafraîchit
30	l'
31	air
32	.
Position	Tokenization	UPOS	Head	Deprel
1	»	PUNCT	4	punct
2	D'	DET	3	det
3	autres	PRON	4	nsubj
4	suivirent	VERB	0	root
5	et	CCONJ	6	cc
6	vinrent	VERB	4	conj
7	y	PRON	8	obl:mod
8	passer	VERB	6	xcomp:obj
9	leurs	DET	10	det
10	vacances	NOUN	8	obj
11	,	PUNCT	13	punct
12	comme	ADP	13	case
13	François	PROPN	4	obl:mod
14	Mauriac	PROPN	13	flat:name
15	en	ADP	16	case
16	voisin	NOUN	13	nmod
17	,	PUNCT	18	punct
18	Roland	PROPN	13	conj
19	Dorgelès	PROPN	18	flat:name
20	ou	CCONJ	21	cc
21	Pierre	PROPN	13	conj
22	Benoit	PROPN	21	flat:name
23	pour	ADP	24	mark
24	bénéficier	VERB	4	advcl
25	de	ADP	27	case
26	la	DET	27	det
27	brise	NOUN	24	obl:arg
28	qui	PRON	29	nsubj
29	rafraîchit	VERB	27	acl:relcl
30	l'	DET	31	det
31	air	NOUN	29	obj
32	.	PUNCT	4	punct