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:
« Les diplômes, expériences et le tempérament commercial sont bien sûr des éléments importants, mais nous recherchons avant tout un état d'esprit et une personnalité.
Postion	Tokenization
1	«
2	Les
3	diplômes
4	,
5	expériences
6	et
7	le
8	tempérament
9	commercial
10	sont
11	bien
12	sûr
13	des
14	éléments
15	importants
16	,
17	mais
18	nous
19	recherchons
20	avant
21	tout
22	un
23	état
24	d'
25	esprit
26	et
27	une
28	personnalité
29	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	14	punct
2	Les	DET	3	det
3	diplômes	NOUN	14	nsubj
4	,	PUNCT	5	punct
5	expériences	NOUN	3	conj
6	et	CCONJ	8	cc
7	le	DET	8	det
8	tempérament	NOUN	3	conj
9	commercial	ADJ	8	amod
10	sont	AUX	14	cop
11	bien	ADV	14	advmod
12	sûr	ADV	11	fixed
13	des	DET	14	det
14	éléments	NOUN	0	root
15	importants	ADJ	14	amod
16	,	PUNCT	19	punct
17	mais	CCONJ	19	cc
18	nous	PRON	19	nsubj
19	recherchons	VERB	14	conj
20	avant	ADP	21	case
21	tout	PRON	19	obl:mod
22	un	DET	23	det
23	état	NOUN	19	obj
24	d'	ADP	25	case
25	esprit	NOUN	23	nmod
26	et	CCONJ	28	cc
27	une	DET	28	det
28	personnalité	NOUN	23	conj
29	.	PUNCT	14	punct