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:
Avant de traiter un sujet, il étudie les plus grands parmi les maîtres qui ont peint le même thème et cherche à retenir ce que chacun apporte de remarquable.
Postion	Tokenization
1	Avant
2	de
3	traiter
4	un
5	sujet
6	,
7	il
8	étudie
9	les
10	plus
11	grands
12	parmi
13	les
14	maîtres
15	qui
16	ont
17	peint
18	le
19	même
20	thème
21	et
22	cherche
23	à
24	retenir
25	ce
26	que
27	chacun
28	apporte
29	de
30	remarquable
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Avant	ADV	8	advmod
2	de	ADP	3	mark
3	traiter	VERB	1	ccomp:obj
4	un	DET	5	det
5	sujet	NOUN	3	obj
6	,	PUNCT	3	punct
7	il	PRON	8	nsubj
8	étudie	VERB	0	root
9	les	DET	11	det
10	plus	ADV	11	advmod
11	grands	ADJ	8	obj
12	parmi	ADP	14	case
13	les	DET	14	det
14	maîtres	NOUN	11	nmod
15	qui	PRON	17	nsubj
16	ont	AUX	17	aux:tense
17	peint	VERB	14	acl:relcl
18	le	DET	20	det
19	même	ADJ	20	amod
20	thème	NOUN	17	obj
21	et	CCONJ	22	cc
22	cherche	VERB	8	conj
23	à	ADP	24	mark
24	retenir	VERB	22	xcomp:obl
25	ce	PRON	24	obj
26	que	PRON	28	obj
27	chacun	PRON	28	nsubj
28	apporte	VERB	25	acl:relcl
29	de	ADP	30	case
30	remarquable	ADJ	28	xcomp:pred
31	.	PUNCT	8	punct