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:
Según los primeros cálculos del grupo presidido por Ballvé, la unión de Campofrío y OMSA elevaría las ventas de ambas sociedades hasta los 204.020 millones de pesetas (1.226 millones de euros) para 2000.
Postion	Tokenization
1	Según
2	los
3	primeros
4	cálculos
5	del
6	grupo
7	presidido
8	por
9	Ballvé
10	,
11	la
12	unión
13	de
14	Campofrío
15	y
16	OMSA
17	elevaría
18	las
19	ventas
20	de
21	ambas
22	sociedades
23	hasta
24	los
25	204.020
26	millones
27	de
28	pesetas
29	(
30	1.226
31	millones
32	de
33	euros
34	)
35	para
36	2000
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	4	case
2	los	DET	4	det
3	primeros	ADJ	4	amod
4	cálculos	NOUN	17	obl
5	del	ADP	6	case
6	grupo	NOUN	4	nmod
7	presidido	ADJ	6	amod
8	por	ADP	9	case
9	Ballvé	PROPN	7	obj
10	,	PUNCT	4	punct
11	la	DET	12	det
12	unión	NOUN	17	nsubj
13	de	ADP	14	case
14	Campofrío	PROPN	12	nmod
15	y	CCONJ	16	cc
16	OMSA	PROPN	14	conj
17	elevaría	VERB	0	root
18	las	DET	19	det
19	ventas	NOUN	17	obj
20	de	ADP	22	case
21	ambas	NUM	22	nummod
22	sociedades	NOUN	19	nmod
23	hasta	ADP	26	case
24	los	DET	25	det
25	204.020	NUM	26	nummod
26	millones	NOUN	17	obl
27	de	ADP	28	case
28	pesetas	NOUN	26	nmod
29	(	PUNCT	31	punct
30	1.226	NUM	31	nummod
31	millones	NOUN	26	appos
32	de	ADP	33	case
33	euros	NOUN	31	nmod
34	)	PUNCT	31	punct
35	para	ADP	36	case
36	2000	NOUN	17	obl
37	.	PUNCT	17	punct