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:
Du côté des avis positifs, la qualité visuelle du film ainsi que son approche inédite des sciences occultes et du chamanisme ont été mises en avant.
Postion	Tokenization
1	Du
2	de
3	le
4	côté
5	des
6	de
7	les
8	avis
9	positifs
10	,
11	la
12	qualité
13	visuelle
14	du
15	de
16	le
17	film
18	ainsi
19	que
20	son
21	approche
22	inédite
23	des
24	de
25	les
26	sciences
27	occultes
28	et
29	du
30	de
31	le
32	chamanisme
33	ont
34	été
35	mises
36	en
37	avant
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Du	_	None	_
2	de	ADP	3	case
3	le	DET	3	det
4	côté	NOUN	30	obl:mod
5	des	_	None	_
6	de	ADP	6	case
7	les	DET	6	det
8	avis	NOUN	3	nmod
9	positifs	ADJ	6	amod
10	,	PUNCT	3	punct
11	la	DET	10	det
12	qualité	NOUN	30	nsubj:pass
13	visuelle	ADJ	10	amod
14	du	_	None	_
15	de	ADP	14	case
16	le	DET	14	det
17	film	NOUN	10	nmod
18	ainsi	ADV	18	cc
19	que	SCONJ	15	fixed
20	son	DET	18	det
21	approche	NOUN	10	conj
22	inédite	ADJ	18	amod
23	des	_	None	_
24	de	ADP	22	case
25	les	DET	22	det
26	sciences	NOUN	18	nmod
27	occultes	ADJ	22	amod
28	et	CCONJ	27	cc
29	du	_	None	_
30	de	ADP	27	case
31	le	DET	27	det
32	chamanisme	NOUN	22	conj
33	ont	AUX	30	aux:tense
34	été	AUX	30	aux:pass
35	mises	VERB	0	root
36	en	ADP	32	case
37	avant	NOUN	30	obl:arg
38	.	PUNCT	30	punct