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:
J'ai fais appel à Nancy Informatique pour récupérer les données formattées accidentellement sur mon disque dur un dimanche apres midi à 14h, intervention rapide à 17h et avec le sourire en plus !
Postion	Tokenization
1	J'
2	ai
3	fais
4	appel
5	à
6	Nancy
7	Informatique
8	pour
9	récupérer
10	les
11	données
12	formattées
13	accidentellement
14	sur
15	mon
16	disque
17	dur
18	un
19	dimanche
20	apres
21	midi
22	à
23	14h
24	,
25	intervention
26	rapide
27	à
28	17h
29	et
30	avec
31	le
32	sourire
33	en
34	plus
35	!
Position	Tokenization	UPOS	Head	Deprel
1	J'	PRON	3	nsubj
2	ai	AUX	3	aux:tense
3	fais	VERB	0	root
4	appel	NOUN	3	obj:lvc
5	à	ADP	6	case
6	Nancy	PROPN	4	dep:comp
7	Informatique	PROPN	6	flat:name
8	pour	ADP	9	mark
9	récupérer	VERB	3	advcl
10	les	DET	11	det
11	données	NOUN	9	obj
12	formattées	VERB	11	acl
13	accidentellement	ADV	12	advmod
14	sur	ADP	16	case
15	mon	DET	16	det
16	disque	NOUN	11	nmod
17	dur	ADJ	16	amod
18	un	DET	19	det
19	dimanche	NOUN	3	obl:mod
20	apres	ADP	19	nmod
21	midi	NOUN	20	goeswith
22	à	ADP	23	case
23	14h	NUM	19	nmod
24	,	PUNCT	25	punct
25	intervention	NOUN	3	parataxis
26	rapide	ADJ	25	amod
27	à	ADP	28	case
28	17h	NUM	25	nmod
29	et	CCONJ	32	cc
30	avec	ADP	32	case
31	le	DET	32	det
32	sourire	NOUN	28	conj
33	en	ADP	32	advmod
34	plus	ADV	33	fixed
35	!	PUNCT	3	punct