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:
Faire une part à l'éblouissement, savoir se lâcher dans l'admiration de ce qui n'est pas soi, céder à ce savoir immédiat du beau et du bien qui nous transporte, voilà le lyrisme.
Postion	Tokenization
1	Faire
2	une
3	part
4	à
5	l'
6	éblouissement
7	,
8	savoir
9	se
10	lâcher
11	dans
12	l'
13	admiration
14	de
15	ce
16	qui
17	n'
18	est
19	pas
20	soi
21	,
22	céder
23	à
24	ce
25	savoir
26	immédiat
27	du
28	de
29	le
30	beau
31	et
32	du
33	de
34	le
35	bien
36	qui
37	nous
38	transporte
39	,
40	voilà
41	le
42	lyrisme
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Faire	VERB	0	root
2	une	DET	3	det
3	part	NOUN	1	obj
4	à	ADP	6	case
5	l'	DET	6	det
6	éblouissement	NOUN	1	obl:arg
7	,	PUNCT	8	punct
8	savoir	VERB	1	conj
9	se	PRON	10	obj
10	lâcher	VERB	8	xcomp:obj
11	dans	ADP	13	case
12	l'	DET	13	det
13	admiration	NOUN	10	obl:arg
14	de	ADP	15	case
15	ce	PRON	13	nmod
16	qui	PRON	20	nsubj
17	n'	ADV	20	advmod
18	est	AUX	20	cop
19	pas	ADV	20	advmod
20	soi	PRON	15	acl:relcl
21	,	PUNCT	22	punct
22	céder	VERB	1	conj
23	à	ADP	25	case
24	ce	DET	25	det
25	savoir	NOUN	22	obl:arg
26	immédiat	ADJ	25	amod
27	du	_	None	_
28	de	ADP	29	case
29	le	DET	29	det
30	beau	NOUN	25	nmod
31	et	CCONJ	33	cc
32	du	_	None	_
33	de	ADP	33	case
34	le	DET	33	det
35	bien	NOUN	29	conj
36	qui	PRON	36	nsubj
37	nous	PRON	36	obj
38	transporte	VERB	25	acl:relcl
39	,	PUNCT	38	punct
40	voilà	VERB	1	parataxis
41	le	DET	40	det
42	lyrisme	NOUN	38	obj
43	.	PUNCT	1	punct