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:
Pour sa première saison à la tête de l'équipe professionnelle, Francis De Taddeo est de plus élu meilleur entraîneur de Ligue 2.
Postion	Tokenization
1	Pour
2	sa
3	première
4	saison
5	à
6	la
7	tête
8	de
9	l'
10	équipe
11	professionnelle
12	,
13	Francis
14	De
15	Taddeo
16	est
17	de
18	plus
19	élu
20	meilleur
21	entraîneur
22	de
23	Ligue
24	2
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	4	case
2	sa	DET	4	det
3	première	ADJ	4	amod
4	saison	NOUN	19	obl:mod
5	à	ADP	7	case
6	la	DET	7	det
7	tête	NOUN	4	nmod
8	de	ADP	10	case
9	l'	DET	10	det
10	équipe	NOUN	7	nmod
11	professionnelle	ADJ	10	amod
12	,	PUNCT	4	punct
13	Francis	PROPN	19	nsubj:pass
14	De	ADP	15	case
15	Taddeo	PROPN	13	nmod
16	est	AUX	19	aux:pass
17	de	ADP	19	advmod
18	plus	ADV	17	fixed
19	élu	VERB	0	root
20	meilleur	ADJ	21	amod
21	entraîneur	NOUN	19	xcomp:pred
22	de	ADP	23	case
23	Ligue	NOUN	21	nmod
24	2	NUM	23	nmod
25	.	PUNCT	19	punct