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 a alors inventorié systématiquement un vocabulaire et développé des stratégies de jeu qui l'ont rapproché de l'improvisation libre telle qu'elle commençait de se pratiquer en Europe.
Postion	Tokenization
1	Il
2	a
3	alors
4	inventorié
5	systématiquement
6	un
7	vocabulaire
8	et
9	développé
10	des
11	stratégies
12	de
13	jeu
14	qui
15	l'
16	ont
17	rapproché
18	de
19	l'
20	improvisation
21	libre
22	telle
23	qu'
24	elle
25	commençait
26	de
27	se
28	pratiquer
29	en
30	Europe
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj
2	a	AUX	4	aux:tense
3	alors	ADV	4	advmod
4	inventorié	VERB	0	root
5	systématiquement	ADV	4	advmod
6	un	DET	7	det
7	vocabulaire	NOUN	4	obj
8	et	CCONJ	9	cc
9	développé	VERB	4	conj
10	des	DET	11	det
11	stratégies	NOUN	9	obj
12	de	ADP	13	case
13	jeu	NOUN	11	nmod
14	qui	PRON	17	nsubj
15	l'	PRON	17	obj
16	ont	AUX	17	aux:tense
17	rapproché	VERB	11	acl:relcl
18	de	ADP	20	case
19	l'	DET	20	det
20	improvisation	NOUN	17	obl:arg
21	libre	ADJ	20	amod
22	telle	ADJ	20	amod
23	qu'	SCONJ	25	mark
24	elle	PRON	25	nsubj
25	commençait	VERB	22	ccomp:obj
26	de	ADP	28	mark
27	se	PRON	28	expl:pass
28	pratiquer	VERB	25	xcomp:obj
29	en	ADP	30	case
30	Europe	PROPN	25	obl:mod
31	.	PUNCT	4	punct