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 centralita de la Bolsa de París se ha puesto también al día de su nueva realidad y se identifica como "Euronext París".
Postion	Tokenization
1	La
2	centralita
3	de
4	la
5	Bolsa
6	de
7	París
8	se
9	ha
10	puesto
11	también
12	al
13	día
14	de
15	su
16	nueva
17	realidad
18	y
19	se
20	identifica
21	como
22	"
23	Euronext
24	París
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	centralita	NOUN	10	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Bolsa	PROPN	2	nmod
6	de	ADP	7	case
7	París	PROPN	5	flat
8	se	PRON	10	expl:pass
9	ha	AUX	10	aux
10	puesto	VERB	0	root
11	también	ADV	10	advmod
12	al	ADP	10	advmod
13	día	NOUN	12	fixed
14	de	ADP	17	case
15	su	DET	17	det
16	nueva	ADJ	17	amod
17	realidad	NOUN	10	obl
18	y	CCONJ	20	cc
19	se	PRON	20	expl:pass
20	identifica	VERB	10	conj
21	como	SCONJ	23	mark
22	"	PUNCT	23	punct
23	Euronext	PROPN	20	obj
24	París	PROPN	23	flat
25	"	PUNCT	23	punct
26	.	PUNCT	10	punct