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:
Si se excluyen los sectores energético y agroalimentario, el índice de los precios industriales aumentó un 0,2 por ciento el mes pasado y un 2,5 por ciento en doce meses, precisó.
Postion	Tokenization
1	Si
2	se
3	excluyen
4	los
5	sectores
6	energético
7	y
8	agroalimentario
9	,
10	el
11	índice
12	de
13	los
14	precios
15	industriales
16	aumentó
17	un
18	0,2
19	por
20	ciento
21	el
22	mes
23	pasado
24	y
25	un
26	2,5
27	por
28	ciento
29	en
30	doce
31	meses
32	,
33	precisó
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	3	mark
2	se	PRON	3	expl:pass
3	excluyen	VERB	33	ccomp
4	los	DET	5	det
5	sectores	NOUN	3	nsubj
6	energético	ADJ	5	amod
7	y	CCONJ	8	cc
8	agroalimentario	ADJ	6	conj
9	,	PUNCT	3	punct
10	el	DET	11	det
11	índice	NOUN	16	nsubj
12	de	ADP	14	case
13	los	DET	14	det
14	precios	NOUN	11	nmod
15	industriales	ADJ	14	amod
16	aumentó	VERB	3	advcl
17	un	DET	18	det
18	0,2	NUM	16	obj
19	por	ADP	20	case
20	ciento	NUM	18	compound
21	el	DET	22	det
22	mes	NOUN	16	obl
23	pasado	ADJ	22	amod
24	y	CCONJ	26	cc
25	un	DET	26	det
26	2,5	NUM	16	conj
27	por	ADP	28	case
28	ciento	NUM	26	compound
29	en	ADP	31	case
30	doce	NUM	31	nummod
31	meses	NOUN	26	nmod
32	,	PUNCT	3	punct
33	precisó	VERB	0	root
34	.	PUNCT	33	punct