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:
Très demandé, vous le connaissez sûrement, Jean M est toujours dévoué, un vrai professionnel qui ne compte pas ses heures pour nous soigner.
Postion	Tokenization
1	Très
2	demandé
3	,
4	vous
5	le
6	connaissez
7	sûrement
8	,
9	Jean
10	M
11	est
12	toujours
13	dévoué
14	,
15	un
16	vrai
17	professionnel
18	qui
19	ne
20	compte
21	pas
22	ses
23	heures
24	pour
25	nous
26	soigner
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Très	ADV	2	advmod
2	demandé	VERB	13	advcl
3	,	PUNCT	2	punct
4	vous	PRON	6	nsubj
5	le	PRON	6	obj
6	connaissez	VERB	13	parataxis
7	sûrement	ADV	6	advmod
8	,	PUNCT	6	punct
9	Jean	PROPN	13	nsubj
10	M	SYM	9	nmod
11	est	AUX	13	cop
12	toujours	ADV	13	advmod
13	dévoué	ADJ	0	root
14	,	PUNCT	17	punct
15	un	DET	17	det
16	vrai	ADJ	17	amod
17	professionnel	NOUN	13	conj
18	qui	PRON	20	nsubj
19	ne	ADV	20	advmod
20	compte	VERB	17	acl:relcl
21	pas	ADV	20	advmod
22	ses	DET	23	det
23	heures	NOUN	20	obj
24	pour	ADP	26	mark
25	nous	PRON	26	obj
26	soigner	VERB	20	advcl
27	.	PUNCT	13	punct