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:
Pendant 7 mois, E-concept s'est occupé de mon ordinateur sans jamais trouver le problème mais tout en me faisant payer des pièces inutiles et très chères.
Postion	Tokenization
1	Pendant
2	7
3	mois
4	,
5	E-concept
6	s'
7	est
8	occupé
9	de
10	mon
11	ordinateur
12	sans
13	jamais
14	trouver
15	le
16	problème
17	mais
18	tout
19	en
20	me
21	faisant
22	payer
23	des
24	pièces
25	inutiles
26	et
27	très
28	chères
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pendant	ADP	3	case
2	7	NUM	3	nummod
3	mois	NOUN	8	obl:mod
4	,	PUNCT	3	punct
5	E-concept	PROPN	8	nsubj
6	s'	PRON	8	dep:comp
7	est	AUX	8	aux:tense
8	occupé	VERB	0	root
9	de	ADP	11	case
10	mon	DET	11	det
11	ordinateur	NOUN	8	obl:arg
12	sans	ADP	14	mark
13	jamais	ADV	14	advmod
14	trouver	VERB	8	advcl
15	le	DET	16	det
16	problème	NOUN	14	obj
17	mais	CCONJ	22	cc
18	tout	ADV	22	mark
19	en	ADP	18	fixed
20	me	PRON	22	obj:agent
21	faisant	AUX	22	aux:caus
22	payer	VERB	14	conj
23	des	DET	24	det
24	pièces	NOUN	22	obj
25	inutiles	ADJ	24	amod
26	et	CCONJ	28	cc
27	très	ADV	28	advmod
28	chères	ADJ	25	conj
29	.	PUNCT	8	punct