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:
Pressé depuis vendredi par les syndicats de magistrats de réagir, le ministre de la Justice, Michel Mercier, a défendu les magistrats contre les accusations de laxisme envers les délinquants.
Postion	Tokenization
1	Pressé
2	depuis
3	vendredi
4	par
5	les
6	syndicats
7	de
8	magistrats
9	de
10	réagir
11	,
12	le
13	ministre
14	de
15	la
16	Justice
17	,
18	Michel
19	Mercier
20	,
21	a
22	défendu
23	les
24	magistrats
25	contre
26	les
27	accusations
28	de
29	laxisme
30	envers
31	les
32	délinquants
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Pressé	VERB	22	advcl
2	depuis	ADP	3	case
3	vendredi	NOUN	1	obl:mod
4	par	ADP	6	case
5	les	DET	6	det
6	syndicats	NOUN	1	obl:agent
7	de	ADP	8	case
8	magistrats	NOUN	6	nmod
9	de	ADP	10	mark
10	réagir	VERB	1	xcomp:obl
11	,	PUNCT	1	punct
12	le	DET	13	det
13	ministre	NOUN	22	nsubj
14	de	ADP	16	case
15	la	DET	16	det
16	Justice	PROPN	13	nmod
17	,	PUNCT	18	punct
18	Michel	PROPN	13	appos
19	Mercier	PROPN	18	flat:name
20	,	PUNCT	18	punct
21	a	AUX	22	aux:tense
22	défendu	VERB	0	root
23	les	DET	24	det
24	magistrats	NOUN	22	obj
25	contre	ADP	27	case
26	les	DET	27	det
27	accusations	NOUN	22	obl:mod
28	de	ADP	29	case
29	laxisme	NOUN	27	nmod
30	envers	ADP	32	case
31	les	DET	32	det
32	délinquants	NOUN	29	nmod
33	.	PUNCT	22	punct