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 de Ministros aprobó hoy un Acuerdo por el que toma conocimiento de la resolución del Consejo Internacional del Caucho Natural sobre la disolución de la Organización Internacional del Caucho Natural, según su referencia oficial.
Postion	Tokenization
1	El
2	Consejo
3	de
4	Ministros
5	aprobó
6	hoy
7	un
8	Acuerdo
9	por
10	el
11	que
12	toma
13	conocimiento
14	de
15	la
16	resolución
17	del
18	Consejo
19	Internacional
20	del
21	Caucho
22	Natural
23	sobre
24	la
25	disolución
26	de
27	la
28	Organización
29	Internacional
30	del
31	Caucho
32	Natural
33	,
34	según
35	su
36	referencia
37	oficial
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Consejo	PROPN	5	nsubj
3	de	ADP	4	case
4	Ministros	PROPN	2	flat
5	aprobó	VERB	0	root
6	hoy	ADV	5	advmod
7	un	DET	8	det
8	Acuerdo	PROPN	5	obj
9	por	ADP	11	case
10	el	DET	11	det
11	que	PRON	12	obl
12	toma	VERB	8	acl
13	conocimiento	NOUN	12	obj
14	de	ADP	16	case
15	la	DET	16	det
16	resolución	NOUN	13	nmod
17	del	ADP	18	case
18	Consejo	PROPN	16	nmod
19	Internacional	PROPN	18	flat
20	del	ADP	21	case
21	Caucho	PROPN	18	flat
22	Natural	PROPN	18	flat
23	sobre	ADP	25	case
24	la	DET	25	det
25	disolución	NOUN	16	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	Organización	PROPN	25	nmod
29	Internacional	PROPN	28	flat
30	del	ADP	31	case
31	Caucho	PROPN	28	flat
32	Natural	PROPN	28	flat
33	,	PUNCT	36	punct
34	según	ADP	36	case
35	su	DET	36	det
36	referencia	NOUN	5	obl
37	oficial	ADJ	36	amod
38	.	PUNCT	5	punct