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:
Il ne signe pas avec l'équipe et choisit plutôt de quitter son high school pour entreprendre une carrière universitaire à l'Université d'État de Louisiane à Bâton-Rouge.
Postion	Tokenization
1	Il
2	ne
3	signe
4	pas
5	avec
6	l'
7	équipe
8	et
9	choisit
10	plutôt
11	de
12	quitter
13	son
14	high
15	school
16	pour
17	entreprendre
18	une
19	carrière
20	universitaire
21	à
22	l'
23	Université
24	d'
25	État
26	de
27	Louisiane
28	à
29	Bâton-Rouge
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	ne	ADV	3	advmod
3	signe	VERB	0	root
4	pas	ADV	3	advmod
5	avec	ADP	7	case
6	l'	DET	7	det
7	équipe	NOUN	3	obl:arg
8	et	CCONJ	9	cc
9	choisit	VERB	3	conj
10	plutôt	ADV	9	advmod
11	de	ADP	12	mark
12	quitter	VERB	9	xcomp:obj
13	son	DET	14	det
14	high	X	12	obj
15	school	X	14	flat:name
16	pour	ADP	17	mark
17	entreprendre	VERB	9	advcl
18	une	DET	19	det
19	carrière	NOUN	17	obj
20	universitaire	ADJ	19	amod
21	à	ADP	23	case
22	l'	DET	23	det
23	Université	NOUN	17	obl:mod
24	d'	ADP	25	case
25	État	PROPN	23	nmod
26	de	ADP	27	case
27	Louisiane	PROPN	23	nmod
28	à	ADP	29	case
29	Bâton-Rouge	PROPN	23	nmod
30	.	PUNCT	3	punct