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:
Celui-ci juge que « le film s'accompagne d'un fascisme ordinaire trop courant dans notre société, celui-là même qu'il prétend dénoncer ».
Postion	Tokenization
1	Celui-ci
2	juge
3	que
4	«
5	le
6	film
7	s'
8	accompagne
9	d'
10	un
11	fascisme
12	ordinaire
13	trop
14	courant
15	dans
16	notre
17	société
18	,
19	celui-là
20	même
21	qu'
22	il
23	prétend
24	dénoncer
25	»
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Celui-ci	PRON	2	nsubj
2	juge	VERB	0	root
3	que	SCONJ	8	mark
4	«	PUNCT	8	punct
5	le	DET	6	det
6	film	NOUN	8	nsubj
7	s'	PRON	8	obj
8	accompagne	VERB	2	ccomp:obj
9	d'	ADP	11	case
10	un	DET	11	det
11	fascisme	NOUN	8	obl:arg
12	ordinaire	ADJ	11	amod
13	trop	ADV	14	advmod
14	courant	ADJ	11	amod
15	dans	ADP	17	case
16	notre	DET	17	det
17	société	NOUN	14	obl:mod
18	,	PUNCT	19	punct
19	celui-là	PRON	11	appos
20	même	ADV	19	advmod
21	qu'	PRON	24	obj
22	il	PRON	23	nsubj
23	prétend	VERB	19	acl:relcl
24	dénoncer	VERB	23	xcomp:obj
25	»	PUNCT	8	punct
26	.	PUNCT	2	punct