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:
Ayant effectué un acte de chirurgie chez le Dr Tchakerian, j'ai été très content du résultat, du suivi, des explications et de la gentillesse du chirurgien.
Postion	Tokenization
1	Ayant
2	effectué
3	un
4	acte
5	de
6	chirurgie
7	chez
8	le
9	Dr
10	Tchakerian
11	,
12	j'
13	ai
14	été
15	très
16	content
17	du
18	de
19	le
20	résultat
21	,
22	du
23	de
24	le
25	suivi
26	,
27	des
28	de
29	les
30	explications
31	et
32	de
33	la
34	gentillesse
35	du
36	de
37	le
38	chirurgien
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayant	AUX	2	aux:tense
2	effectué	VERB	16	advcl
3	un	DET	4	det
4	acte	NOUN	2	obj
5	de	ADP	6	case
6	chirurgie	NOUN	4	nmod
7	chez	ADP	9	case
8	le	DET	9	det
9	Dr	PROPN	2	obl:mod
10	Tchakerian	PROPN	9	flat:name
11	,	PUNCT	2	punct
12	j'	PRON	16	nsubj
13	ai	AUX	16	aux:tense
14	été	AUX	16	cop
15	très	ADV	16	advmod
16	content	ADJ	0	root
17	du	_	None	_
18	de	ADP	19	case
19	le	DET	19	det
20	résultat	NOUN	16	obl:arg
21	,	PUNCT	23	punct
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	suivi	NOUN	19	conj
26	,	PUNCT	27	punct
27	des	_	None	_
28	de	ADP	27	case
29	les	DET	27	det
30	explications	NOUN	19	conj
31	et	CCONJ	31	cc
32	de	ADP	31	case
33	la	DET	31	det
34	gentillesse	NOUN	19	conj
35	du	_	None	_
36	de	ADP	34	case
37	le	DET	34	det
38	chirurgien	NOUN	31	nmod
39	.	PUNCT	16	punct