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:
Pour ce qui est des films, certaines catégories sont analogues à celles du cinéma traditionnel, d'autres sont spécifiques à la pornographie.
Postion	Tokenization
1	Pour
2	ce
3	qui
4	est
5	des
6	de
7	les
8	films
9	,
10	certaines
11	catégories
12	sont
13	analogues
14	à
15	celles
16	du
17	de
18	le
19	cinéma
20	traditionnel
21	,
22	d'
23	autres
24	sont
25	spécifiques
26	à
27	la
28	pornographie
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	case
2	ce	PRON	12	obl:mod
3	qui	PRON	7	nsubj
4	est	AUX	7	cop
5	des	_	None	_
6	de	ADP	7	case
7	les	DET	7	det
8	films	NOUN	2	acl:relcl
9	,	PUNCT	2	punct
10	certaines	DET	10	det
11	catégories	NOUN	12	nsubj
12	sont	AUX	12	cop
13	analogues	ADJ	0	root
14	à	ADP	14	case
15	celles	PRON	12	obl:arg
16	du	_	None	_
17	de	ADP	17	case
18	le	DET	17	det
19	cinéma	NOUN	14	nmod
20	traditionnel	ADJ	17	amod
21	,	PUNCT	23	punct
22	d'	DET	21	det
23	autres	PRON	23	nsubj
24	sont	AUX	23	cop
25	spécifiques	ADJ	12	conj
26	à	ADP	26	case
27	la	DET	26	det
28	pornographie	NOUN	23	obl:arg
29	.	PUNCT	12	punct