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:
"Creo que también comprenden que, cuando el precio del barril ha subido de 10 a 30 dólares el barril, es la OPEP la que tiene que actuar", indicó el titular de Economía.
Postion	Tokenization
1	"
2	Creo
3	que
4	también
5	comprenden
6	que
7	,
8	cuando
9	el
10	precio
11	del
12	barril
13	ha
14	subido
15	de
16	10
17	a
18	30
19	dólares
20	el
21	barril
22	,
23	es
24	la
25	OPEP
26	la
27	que
28	tiene
29	que
30	actuar
31	"
32	,
33	indicó
34	el
35	titular
36	de
37	Economía
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Creo	VERB	33	ccomp
3	que	SCONJ	5	mark
4	también	ADV	5	advmod
5	comprenden	VERB	2	ccomp
6	que	SCONJ	25	mark
7	,	PUNCT	14	punct
8	cuando	SCONJ	14	mark
9	el	DET	10	det
10	precio	NOUN	14	nsubj
11	del	ADP	12	case
12	barril	NOUN	10	nmod
13	ha	AUX	14	aux
14	subido	VERB	25	advcl
15	de	ADP	16	case
16	10	NUM	14	obl
17	a	ADP	19	case
18	30	NUM	19	nummod
19	dólares	NOUN	14	obl
20	el	DET	21	det
21	barril	NOUN	19	nmod
22	,	PUNCT	14	punct
23	es	AUX	25	cop
24	la	DET	25	det
25	OPEP	PROPN	5	ccomp
26	la	DET	27	det
27	que	PRON	30	nsubj
28	tiene	VERB	25	csubj
29	que	SCONJ	30	cc
30	actuar	VERB	28	conj
31	"	PUNCT	2	punct
32	,	PUNCT	2	punct
33	indicó	VERB	0	root
34	el	DET	35	det
35	titular	NOUN	33	nsubj
36	de	ADP	37	case
37	Economía	PROPN	35	nmod
38	.	PUNCT	33	punct