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:
La configuration de base, à 649 euros, comporte un processeur Intel Celeron SU2300 à 1,2 GHz (deux cœurs) et un disque dur de 320 Go.
Postion	Tokenization
1	La
2	configuration
3	de
4	base
5	,
6	à
7	649
8	euros
9	,
10	comporte
11	un
12	processeur
13	Intel
14	Celeron
15	SU2300
16	à
17	1,2
18	GHz
19	(
20	deux
21	cœurs
22	)
23	et
24	un
25	disque
26	dur
27	de
28	320
29	Go.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	configuration	NOUN	10	nsubj
3	de	ADP	4	case
4	base	NOUN	2	nmod
5	,	PUNCT	8	punct
6	à	ADP	8	case
7	649	NUM	8	nummod
8	euros	NOUN	2	nmod
9	,	PUNCT	8	punct
10	comporte	VERB	0	root
11	un	DET	12	det
12	processeur	NOUN	10	obj
13	Intel	PROPN	12	appos
14	Celeron	PROPN	13	flat:name
15	SU2300	PROPN	14	flat:name
16	à	ADP	18	case
17	1,2	NUM	18	nummod
18	GHz	NOUN	12	nmod
19	(	PUNCT	21	punct
20	deux	NUM	21	nummod
21	cœurs	NOUN	12	appos
22	)	PUNCT	21	punct
23	et	CCONJ	25	cc
24	un	DET	25	det
25	disque	NOUN	12	conj
26	dur	ADJ	25	amod
27	de	ADP	29	case
28	320	NUM	29	nummod
29	Go.	NOUN	25	nmod