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:
En créant à la fois l'intégralité des costumes et l'identité des personnages de ce spectacle, il met en scène Extravaganza l'un des tableaux de celui-ci.
Postion	Tokenization
1	En
2	créant
3	à
4	la
5	fois
6	l'
7	intégralité
8	des
9	de
10	les
11	costumes
12	et
13	l'
14	identité
15	des
16	de
17	les
18	personnages
19	de
20	ce
21	spectacle
22	,
23	il
24	met
25	en
26	scène
27	Extravaganza
28	l'
29	un
30	des
31	de
32	les
33	tableaux
34	de
35	celui-ci
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	mark
2	créant	VERB	22	advcl
3	à	ADP	7	advmod
4	la	DET	3	fixed
5	fois	NOUN	3	fixed
6	l'	DET	7	det
7	intégralité	NOUN	2	obj
8	des	_	None	_
9	de	ADP	10	case
10	les	DET	10	det
11	costumes	NOUN	7	nmod
12	et	CCONJ	13	cc
13	l'	DET	13	det
14	identité	NOUN	7	conj
15	des	_	None	_
16	de	ADP	16	case
17	les	DET	16	det
18	personnages	NOUN	13	nmod
19	de	ADP	19	case
20	ce	DET	19	det
21	spectacle	NOUN	16	nmod
22	,	PUNCT	2	punct
23	il	PRON	22	nsubj
24	met	VERB	0	root
25	en	ADP	24	case
26	scène	NOUN	22	obl:mod
27	Extravaganza	PROPN	22	obj
28	l'	DET	27	det
29	un	PRON	25	appos
30	des	_	None	_
31	de	ADP	30	case
32	les	DET	30	det
33	tableaux	NOUN	27	nmod
34	de	ADP	32	case
35	celui-ci	PRON	30	nmod
36	.	PUNCT	22	punct