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 el Instituto Nacional de Estadística (INE), el índice de precios industriales acumula un crecimiento del 2,5% en los cuatro primeros meses del año.
Postion	Tokenization
1	Según
2	el
3	Instituto
4	Nacional
5	de
6	Estadística
7	(
8	INE
9	)
10	,
11	el
12	índice
13	de
14	precios
15	industriales
16	acumula
17	un
18	crecimiento
19	del
20	2,5%
21	en
22	los
23	cuatro
24	primeros
25	meses
26	del
27	año
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	Instituto	PROPN	16	obl
4	Nacional	PROPN	3	flat
5	de	ADP	6	case
6	Estadística	PROPN	3	flat
7	(	PUNCT	8	punct
8	INE	PROPN	3	flat
9	)	PUNCT	8	punct
10	,	PUNCT	3	punct
11	el	DET	12	det
12	índice	NOUN	16	nsubj
13	de	ADP	14	case
14	precios	NOUN	12	nmod
15	industriales	ADJ	14	amod
16	acumula	VERB	0	root
17	un	DET	18	det
18	crecimiento	NOUN	16	obj
19	del	ADP	20	case
20	2,5%	SYM	18	nmod
21	en	ADP	25	case
22	los	DET	25	det
23	cuatro	NUM	22	nummod
24	primeros	ADJ	25	amod
25	meses	NOUN	16	obl
26	del	ADP	27	case
27	año	NOUN	25	nmod
28	.	PUNCT	16	punct