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:
Après M. Karoubi, bloqué chez lui depuis jeudi par la police, c'est M. Moussavi qui a vu lundi matin son domicile encerclé et ses téléphones coupés, selon son site internet.
Postion	Tokenization
1	Après
2	M.
3	Karoubi
4	,
5	bloqué
6	chez
7	lui
8	depuis
9	jeudi
10	par
11	la
12	police
13	,
14	c'
15	est
16	M.
17	Moussavi
18	qui
19	a
20	vu
21	lundi
22	matin
23	son
24	domicile
25	encerclé
26	et
27	ses
28	téléphones
29	coupés
30	,
31	selon
32	son
33	site
34	internet
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	2	case
2	M.	NOUN	16	obl:mod
3	Karoubi	PROPN	2	flat:name
4	,	PUNCT	5	punct
5	bloqué	VERB	2	acl
6	chez	ADP	7	case
7	lui	PRON	5	obl:arg
8	depuis	ADP	9	case
9	jeudi	NOUN	5	obl:mod
10	par	ADP	12	case
11	la	DET	12	det
12	police	NOUN	5	obl:agent
13	,	PUNCT	2	punct
14	c'	PRON	16	expl:subj
15	est	AUX	16	cop
16	M.	NOUN	0	root
17	Moussavi	PROPN	16	flat:name
18	qui	PRON	20	nsubj
19	a	AUX	20	aux:tense
20	vu	VERB	16	advcl:cleft
21	lundi	NOUN	20	obl:mod
22	matin	NOUN	21	nmod
23	son	DET	24	det
24	domicile	NOUN	20	obj
25	encerclé	VERB	24	acl
26	et	CCONJ	28	cc
27	ses	DET	28	det
28	téléphones	NOUN	24	conj
29	coupés	VERB	28	acl
30	,	PUNCT	33	punct
31	selon	ADP	33	case
32	son	DET	33	det
33	site	NOUN	20	obl:mod
34	internet	NOUN	33	nmod
35	.	PUNCT	16	punct