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 la ONCE, las ventas del cupón han crecido este año entre un 1,8% y un 2% lo que supone un aumento similar al del IPC y, en términos reales, una cifra similar al crecimiento cero.
Postion	Tokenization
1	Según
2	la
3	ONCE
4	,
5	las
6	ventas
7	del
8	cupón
9	han
10	crecido
11	este
12	año
13	entre
14	un
15	1,8%
16	y
17	un
18	2%
19	lo
20	que
21	supone
22	un
23	aumento
24	similar
25	al
26	del
27	IPC
28	y
29	,
30	en
31	términos
32	reales
33	,
34	una
35	cifra
36	similar
37	al
38	crecimiento
39	cero
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	la	DET	3	det
3	ONCE	PROPN	10	obl
4	,	PUNCT	3	punct
5	las	DET	6	det
6	ventas	NOUN	10	nsubj
7	del	ADP	8	case
8	cupón	NOUN	6	nmod
9	han	AUX	10	aux
10	crecido	VERB	0	root
11	este	DET	12	det
12	año	NOUN	10	obl
13	entre	ADP	15	case
14	un	DET	15	det
15	1,8%	SYM	10	obj
16	y	CCONJ	18	cc
17	un	DET	18	det
18	2%	SYM	15	conj
19	lo	PRON	21	det
20	que	PRON	21	nsubj
21	supone	VERB	10	advcl
22	un	DET	23	det
23	aumento	NOUN	21	obj
24	similar	ADJ	23	amod
25	al	ADP	27	case
26	del	ADP	27	case
27	IPC	PROPN	23	nmod
28	y	CCONJ	35	cc
29	,	PUNCT	31	punct
30	en	ADP	31	case
31	términos	NOUN	35	nmod
32	reales	ADJ	31	amod
33	,	PUNCT	31	punct
34	una	DET	35	det
35	cifra	NOUN	23	conj
36	similar	ADJ	35	amod
37	al	ADP	38	case
38	crecimiento	NOUN	36	nmod
39	cero	NOUN	38	nmod
40	.	PUNCT	10	punct