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 nuevo Gabinete tomará sus decisiones colectivamente, ya que habrá un jefe de Gobierno socialista, Milomir Minic, y dos vicepresidentes, uno de DOS y otro del SPO.
Postion	Tokenization
1	El
2	nuevo
3	Gabinete
4	tomará
5	sus
6	decisiones
7	colectivamente
8	,
9	ya
10	que
11	habrá
12	un
13	jefe
14	de
15	Gobierno
16	socialista
17	,
18	Milomir
19	Minic
20	,
21	y
22	dos
23	vicepresidentes
24	,
25	uno
26	de
27	DOS
28	y
29	otro
30	del
31	SPO
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	nuevo	ADJ	3	amod
3	Gabinete	PROPN	4	nsubj
4	tomará	VERB	0	root
5	sus	DET	6	det
6	decisiones	NOUN	4	obj
7	colectivamente	ADV	4	advmod
8	,	PUNCT	11	punct
9	ya	ADV	11	mark
10	que	SCONJ	9	fixed
11	habrá	AUX	4	advcl
12	un	DET	13	det
13	jefe	NOUN	11	obj
14	de	ADP	15	case
15	Gobierno	PROPN	13	nmod
16	socialista	ADJ	13	amod
17	,	PUNCT	18	punct
18	Milomir	PROPN	13	appos
19	Minic	PROPN	18	flat
20	,	PUNCT	18	punct
21	y	CCONJ	23	cc
22	dos	NUM	23	nummod
23	vicepresidentes	NOUN	13	conj
24	,	PUNCT	25	punct
25	uno	PRON	23	appos
26	de	ADP	27	case
27	DOS	PROPN	25	nmod
28	y	CCONJ	29	cc
29	otro	PRON	25	conj
30	del	ADP	31	case
31	SPO	PROPN	29	nmod
32	.	PUNCT	4	punct