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:
El Consejo Internacional del Caucho Natural seguirá existiendo para llevar a cabo la liquidación de la organización y decidir sobre otras cuestiones que se planteen.
Postion	Tokenization
1	El
2	Consejo
3	Internacional
4	del
5	Caucho
6	Natural
7	seguirá
8	existiendo
9	para
10	llevar
11	a
12	cabo
13	la
14	liquidación
15	de
16	la
17	organización
18	y
19	decidir
20	sobre
21	otras
22	cuestiones
23	que
24	se
25	planteen
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Consejo	PROPN	7	nsubj
3	Internacional	PROPN	2	flat
4	del	ADP	5	case
5	Caucho	PROPN	2	flat
6	Natural	PROPN	2	flat
7	seguirá	VERB	0	root
8	existiendo	VERB	7	xcomp
9	para	ADP	10	mark
10	llevar	VERB	8	advcl
11	a	ADP	12	case
12	cabo	NOUN	10	compound
13	la	DET	14	det
14	liquidación	NOUN	10	obj
15	de	ADP	17	case
16	la	DET	17	det
17	organización	NOUN	14	nmod
18	y	CCONJ	19	cc
19	decidir	VERB	10	conj
20	sobre	ADP	22	case
21	otras	DET	22	det
22	cuestiones	NOUN	19	obl
23	que	PRON	25	nsubj
24	se	PRON	25	expl:pass
25	planteen	VERB	22	acl
26	.	PUNCT	7	punct