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:
Le gain de performance global est variable (nombre de cores, textures chargées ou en chargement...), mais est d'environ 20% pour les mono-cores, et de 40% pour les dual-cores.
Postion	Tokenization
1	Le
2	gain
3	de
4	performance
5	global
6	est
7	variable
8	(
9	nombre
10	de
11	cores
12	,
13	textures
14	chargées
15	ou
16	en
17	chargement
18	...
19	)
20	,
21	mais
22	est
23	d'
24	environ
25	20
26	%
27	pour
28	les
29	mono-cores
30	,
31	et
32	de
33	40
34	%
35	pour
36	les
37	dual-cores
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	gain	NOUN	7	nsubj
3	de	ADP	4	case
4	performance	NOUN	2	nmod
5	global	ADJ	2	amod
6	est	AUX	7	cop
7	variable	ADJ	0	root
8	(	PUNCT	9	punct
9	nombre	NOUN	7	parataxis
10	de	ADP	11	case
11	cores	NOUN	9	nmod
12	,	PUNCT	13	punct
13	textures	NOUN	9	conj
14	chargées	ADJ	13	amod
15	ou	CCONJ	17	cc
16	en	ADP	17	case
17	chargement	NOUN	14	conj
18	...	PUNCT	9	punct
19	)	PUNCT	9	punct
20	,	PUNCT	26	punct
21	mais	CCONJ	26	cc
22	est	AUX	26	cop
23	d'	ADP	26	case
24	environ	ADV	25	advmod
25	20	NUM	26	nummod
26	%	SYM	7	conj
27	pour	ADP	29	case
28	les	DET	29	det
29	mono-cores	NOUN	26	nmod
30	,	PUNCT	34	punct
31	et	CCONJ	34	cc
32	de	ADP	34	case
33	40	NUM	34	nummod
34	%	SYM	26	conj
35	pour	ADP	37	case
36	les	DET	37	det
37	dual-cores	NOUN	34	nmod
38	.	PUNCT	7	punct