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:
Je pense que sa peinture n'était pas l'expression de cette émotion ni non plus son dérivatif, mais d'abord une manière pour lui d'y résister... en lui donnant forme et contour.
Postion	Tokenization
1	Je
2	pense
3	que
4	sa
5	peinture
6	n'
7	était
8	pas
9	l'
10	expression
11	de
12	cette
13	émotion
14	ni
15	non
16	plus
17	son
18	dérivatif
19	,
20	mais
21	d'
22	abord
23	une
24	manière
25	pour
26	lui
27	d'
28	y
29	résister
30	...
31	en
32	lui
33	donnant
34	forme
35	et
36	contour
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	PRON	2	nsubj
2	pense	VERB	0	root
3	que	SCONJ	10	mark
4	sa	DET	5	det
5	peinture	NOUN	10	nsubj
6	n'	ADV	10	advmod
7	était	AUX	10	cop
8	pas	ADV	10	advmod
9	l'	DET	10	det
10	expression	NOUN	2	ccomp:obj
11	de	ADP	13	case
12	cette	DET	13	det
13	émotion	NOUN	10	nmod
14	ni	CCONJ	18	cc
15	non	ADV	18	advmod
16	plus	ADV	15	fixed
17	son	DET	18	det
18	dérivatif	NOUN	10	conj
19	,	PUNCT	24	punct
20	mais	CCONJ	24	cc
21	d'	ADP	24	advmod
22	abord	NOUN	21	fixed
23	une	DET	24	det
24	manière	NOUN	10	conj
25	pour	ADP	26	case
26	lui	PRON	24	nmod
27	d'	ADP	29	mark
28	y	PRON	29	obl:arg
29	résister	VERB	24	acl
30	...	PUNCT	33	punct
31	en	ADP	33	mark
32	lui	PRON	33	obl:arg
33	donnant	VERB	10	advcl
34	forme	NOUN	33	obj:lvc
35	et	CCONJ	36	cc
36	contour	NOUN	34	conj
37	.	PUNCT	2	punct