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:
Londres, como el resto del mundo, vive pendiente de la reunión de la OPEP para aumentar la producción mundial de crudo, una decisión vital para frenar el encarecimiento del combustible.
Postion	Tokenization
1	Londres
2	,
3	como
4	el
5	resto
6	del
7	mundo
8	,
9	vive
10	pendiente
11	de
12	la
13	reunión
14	de
15	la
16	OPEP
17	para
18	aumentar
19	la
20	producción
21	mundial
22	de
23	crudo
24	,
25	una
26	decisión
27	vital
28	para
29	frenar
30	el
31	encarecimiento
32	del
33	combustible
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Londres	PROPN	9	nsubj
2	,	PUNCT	5	punct
3	como	SCONJ	5	mark
4	el	DET	5	det
5	resto	NOUN	1	nmod
6	del	ADP	7	case
7	mundo	NOUN	5	nmod
8	,	PUNCT	5	punct
9	vive	VERB	0	root
10	pendiente	ADJ	9	obj
11	de	ADP	13	case
12	la	DET	13	det
13	reunión	NOUN	10	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	OPEP	PROPN	13	nmod
17	para	ADP	18	mark
18	aumentar	VERB	13	acl
19	la	DET	20	det
20	producción	NOUN	18	obj
21	mundial	ADJ	20	amod
22	de	ADP	23	case
23	crudo	NOUN	20	nmod
24	,	PUNCT	26	punct
25	una	DET	26	det
26	decisión	NOUN	20	appos
27	vital	ADJ	26	amod
28	para	ADP	29	mark
29	frenar	VERB	26	acl
30	el	DET	31	det
31	encarecimiento	NOUN	29	obj
32	del	ADP	33	case
33	combustible	NOUN	31	nmod
34	.	PUNCT	9	punct