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:
Los precios de venta industriales de los productos energéticos subieron un 1,6 por ciento el mes pasado (frente a un 6,3 en septiembre) y un 28,4 en doce meses.
Postion	Tokenization
1	Los
2	precios
3	de
4	venta
5	industriales
6	de
7	los
8	productos
9	energéticos
10	subieron
11	un
12	1,6
13	por
14	ciento
15	el
16	mes
17	pasado
18	(
19	frente
20	a
21	un
22	6,3
23	en
24	septiembre
25	)
26	y
27	un
28	28,4
29	en
30	doce
31	meses
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	precios	NOUN	10	nsubj
3	de	ADP	4	case
4	venta	NOUN	2	nmod
5	industriales	ADJ	2	amod
6	de	ADP	8	case
7	los	DET	8	det
8	productos	NOUN	2	nmod
9	energéticos	ADJ	8	amod
10	subieron	VERB	0	root
11	un	DET	12	det
12	1,6	NUM	10	obj
13	por	ADP	14	case
14	ciento	NUM	12	compound
15	el	DET	16	det
16	mes	NOUN	10	obl
17	pasado	ADJ	16	amod
18	(	PUNCT	19	punct
19	frente	ADV	10	dep
20	a	ADP	22	case
21	un	DET	22	det
22	6,3	NUM	19	obl
23	en	ADP	19	case
24	septiembre	NOUN	19	nmod
25	)	PUNCT	19	punct
26	y	CCONJ	28	cc
27	un	DET	28	det
28	28,4	NUM	10	conj
29	en	ADP	31	case
30	doce	NUM	31	nummod
31	meses	NOUN	28	nmod
32	.	PUNCT	10	punct