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:
Elle est le fruit d'un enseignement qui a commencé à l'âge de 6 ans avec son professeur de père qui lui apprend à jouer le plus long possible pour briser le jeu de ses adversaires : un tennis solide, académique, sans faille, mécanisé, automatisé, et repoli chaque jour durant des heures.
Postion	Tokenization
1	Elle
2	est
3	le
4	fruit
5	d'
6	un
7	enseignement
8	qui
9	a
10	commencé
11	à
12	l'
13	âge
14	de
15	6
16	ans
17	avec
18	son
19	professeur
20	de
21	père
22	qui
23	lui
24	apprend
25	à
26	jouer
27	le
28	plus
29	long
30	possible
31	pour
32	briser
33	le
34	jeu
35	de
36	ses
37	adversaires
38	:
39	un
40	tennis
41	solide
42	,
43	académique
44	,
45	sans
46	faille
47	,
48	mécanisé
49	,
50	automatisé
51	,
52	et
53	repoli
54	chaque
55	jour
56	durant
57	des
58	heures
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	4	nsubj
2	est	AUX	4	cop
3	le	DET	4	det
4	fruit	NOUN	0	root
5	d'	ADP	7	case
6	un	DET	7	det
7	enseignement	NOUN	4	nmod
8	qui	PRON	10	nsubj
9	a	AUX	10	aux:tense
10	commencé	VERB	7	acl:relcl
11	à	ADP	13	case
12	l'	DET	13	det
13	âge	NOUN	10	obl:mod
14	de	ADP	16	case
15	6	NUM	16	nummod
16	ans	NOUN	13	nmod
17	avec	ADP	19	case
18	son	DET	19	det
19	professeur	NOUN	10	obl:mod
20	de	ADP	21	case
21	père	NOUN	19	nmod
22	qui	PRON	24	nsubj
23	lui	PRON	24	obl:arg
24	apprend	VERB	19	acl:relcl
25	à	ADP	26	mark
26	jouer	VERB	24	xcomp:obl
27	le	DET	29	advmod
28	plus	ADV	27	fixed
29	long	ADV	26	advmod
30	possible	ADV	29	advmod
31	pour	ADP	32	mark
32	briser	VERB	26	advcl
33	le	DET	34	det
34	jeu	NOUN	32	obj
35	de	ADP	37	case
36	ses	DET	37	det
37	adversaires	NOUN	34	nmod
38	:	PUNCT	40	punct
39	un	DET	40	det
40	tennis	NOUN	4	parataxis
41	solide	ADJ	40	amod
42	,	PUNCT	43	punct
43	académique	ADJ	41	conj
44	,	PUNCT	46	punct
45	sans	ADP	46	case
46	faille	NOUN	41	conj
47	,	PUNCT	48	punct
48	mécanisé	VERB	41	conj
49	,	PUNCT	50	punct
50	automatisé	VERB	41	conj
51	,	PUNCT	53	punct
52	et	CCONJ	53	cc
53	repoli	VERB	41	conj
54	chaque	DET	55	det
55	jour	NOUN	53	obl:mod
56	durant	ADP	58	case
57	des	DET	58	det
58	heures	NOUN	53	obl:mod
59	.	PUNCT	4	punct