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:
Pero los combustibles y carburantes se encarecieron un 70,9 por ciento en un año y un 2,2 por ciento el mes pasado, cuando aumentaron en un 7,8 por ciento los precios del gas para uso profesional.
Postion	Tokenization
1	Pero
2	los
3	combustibles
4	y
5	carburantes
6	se
7	encarecieron
8	un
9	70,9
10	por
11	ciento
12	en
13	un
14	año
15	y
16	un
17	2,2
18	por
19	ciento
20	el
21	mes
22	pasado
23	,
24	cuando
25	aumentaron
26	en
27	un
28	7,8
29	por
30	ciento
31	los
32	precios
33	del
34	gas
35	para
36	uso
37	profesional
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	7	advmod
2	los	DET	3	det
3	combustibles	NOUN	7	nsubj
4	y	CCONJ	5	cc
5	carburantes	NOUN	3	conj
6	se	PRON	7	expl:pv
7	encarecieron	VERB	0	root
8	un	DET	9	det
9	70,9	NUM	7	obj
10	por	ADP	11	case
11	ciento	NUM	9	compound
12	en	ADP	14	case
13	un	DET	14	det
14	año	NOUN	7	obl
15	y	CCONJ	17	cc
16	un	DET	17	det
17	2,2	NUM	7	conj
18	por	ADP	19	case
19	ciento	NUM	17	compound
20	el	DET	21	det
21	mes	NOUN	17	appos
22	pasado	ADJ	21	amod
23	,	PUNCT	25	punct
24	cuando	PRON	25	obl
25	aumentaron	VERB	21	acl
26	en	ADP	28	case
27	un	DET	28	det
28	7,8	NUM	25	obj
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	los	DET	32	det
32	precios	NOUN	25	nsubj
33	del	ADP	34	case
34	gas	NOUN	32	nmod
35	para	ADP	36	case
36	uso	NOUN	34	nmod
37	profesional	ADJ	36	amod
38	.	PUNCT	7	punct