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 Bolsa de París acogió hoy con champán, pero también con una importante caída el nacimiento jurídico de Euronext, fruto de su fusión con las plazas financieras de Amsterdam y Bruselas.
Postion	Tokenization
1	La
2	Bolsa
3	de
4	París
5	acogió
6	hoy
7	con
8	champán
9	,
10	pero
11	también
12	con
13	una
14	importante
15	caída
16	el
17	nacimiento
18	jurídico
19	de
20	Euronext
21	,
22	fruto
23	de
24	su
25	fusión
26	con
27	las
28	plazas
29	financieras
30	de
31	Amsterdam
32	y
33	Bruselas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Bolsa	PROPN	5	nsubj
3	de	ADP	4	case
4	París	PROPN	2	flat
5	acogió	VERB	0	root
6	hoy	ADV	5	advmod
7	con	ADP	8	case
8	champán	NOUN	5	obl
9	,	PUNCT	11	punct
10	pero	CCONJ	11	cc
11	también	ADV	8	conj
12	con	ADP	11	case
13	una	DET	15	det
14	importante	ADJ	15	amod
15	caída	NOUN	11	nmod
16	el	DET	17	det
17	nacimiento	NOUN	5	obj
18	jurídico	ADJ	17	amod
19	de	ADP	20	case
20	Euronext	PROPN	17	nmod
21	,	PUNCT	22	punct
22	fruto	NOUN	20	appos
23	de	ADP	25	case
24	su	DET	25	det
25	fusión	NOUN	22	nmod
26	con	ADP	28	case
27	las	DET	28	det
28	plazas	NOUN	25	nmod
29	financieras	ADJ	28	amod
30	de	ADP	31	case
31	Amsterdam	PROPN	28	nmod
32	y	CCONJ	33	cc
33	Bruselas	PROPN	31	conj
34	.	PUNCT	5	punct