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:
Dali et Magritte en ont retenu son extravagance qui coulait de source, peignant des têtes avec d'autres parties du corps et des éléments de paysages.
Postion	Tokenization
1	Dali
2	et
3	Magritte
4	en
5	ont
6	retenu
7	son
8	extravagance
9	qui
10	coulait
11	de
12	source
13	,
14	peignant
15	des
16	têtes
17	avec
18	d'
19	autres
20	parties
21	du
22	de
23	le
24	corps
25	et
26	des
27	éléments
28	de
29	paysages
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Dali	PROPN	6	nsubj
2	et	CCONJ	3	cc
3	Magritte	PROPN	1	conj
4	en	PRON	6	obl:arg
5	ont	AUX	6	aux:tense
6	retenu	VERB	0	root
7	son	DET	8	det
8	extravagance	NOUN	6	obj
9	qui	PRON	10	nsubj
10	coulait	VERB	8	acl:relcl
11	de	ADP	12	case
12	source	NOUN	10	obl:arg
13	,	PUNCT	14	punct
14	peignant	VERB	10	advcl
15	des	DET	16	det
16	têtes	NOUN	14	obj
17	avec	ADP	20	case
18	d'	DET	20	det
19	autres	ADJ	20	amod
20	parties	NOUN	14	obl:mod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	corps	NOUN	20	nmod
25	et	CCONJ	26	cc
26	des	DET	26	det
27	éléments	NOUN	20	conj
28	de	ADP	28	case
29	paysages	NOUN	26	nmod
30	.	PUNCT	6	punct