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 avoir fait réparer mes précieuses ballerines Repetto qui étaient dans un état assez critique, j'avoue que je n'hésite plus, j'ai trouvé mon cordonnier !
Postion	Tokenization
1	Après
2	avoir
3	fait
4	réparer
5	mes
6	précieuses
7	ballerines
8	Repetto
9	qui
10	étaient
11	dans
12	un
13	état
14	assez
15	critique
16	,
17	j'
18	avoue
19	que
20	je
21	n'
22	hésite
23	plus
24	,
25	j'
26	ai
27	trouvé
28	mon
29	cordonnier
30	!
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	4	mark
2	avoir	AUX	4	aux:tense
3	fait	AUX	4	aux:caus
4	réparer	VERB	18	advcl
5	mes	DET	7	det
6	précieuses	ADJ	7	amod
7	ballerines	NOUN	4	obj
8	Repetto	PROPN	7	appos
9	qui	PRON	10	nsubj
10	étaient	VERB	7	acl:relcl
11	dans	ADP	13	case
12	un	DET	13	det
13	état	NOUN	10	obl:arg
14	assez	ADV	15	advmod
15	critique	ADJ	13	amod
16	,	PUNCT	4	punct
17	j'	PRON	18	nsubj
18	avoue	VERB	0	root
19	que	SCONJ	22	mark
20	je	PRON	22	nsubj
21	n'	ADV	22	advmod
22	hésite	VERB	18	ccomp:obj
23	plus	ADV	22	advmod
24	,	PUNCT	27	punct
25	j'	PRON	27	nsubj
26	ai	AUX	27	aux:tense
27	trouvé	VERB	18	conj
28	mon	DET	29	det
29	cordonnier	NOUN	27	obj
30	!	PUNCT	18	punct