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 protagonista directo es Juan Manuel Eguiagaray, ministro de Industria y Energía, aunque la idea no es sólo suya sino que es compartida por la mayoría del Gobierno, incluido Felipe González.
Postion	Tokenization
1	El
2	protagonista
3	directo
4	es
5	Juan
6	Manuel
7	Eguiagaray
8	,
9	ministro
10	de
11	Industria
12	y
13	Energía
14	,
15	aunque
16	la
17	idea
18	no
19	es
20	sólo
21	suya
22	sino
23	que
24	es
25	compartida
26	por
27	la
28	mayoría
29	del
30	Gobierno
31	,
32	incluido
33	Felipe
34	González
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	protagonista	NOUN	5	nsubj
3	directo	ADJ	2	amod
4	es	AUX	5	cop
5	Juan	PROPN	0	root
6	Manuel	PROPN	5	flat
7	Eguiagaray	PROPN	5	flat
8	,	PUNCT	9	punct
9	ministro	NOUN	5	appos
10	de	ADP	11	case
11	Industria	PROPN	9	nmod
12	y	CCONJ	13	cc
13	Energía	PROPN	11	conj
14	,	PUNCT	9	punct
15	aunque	SCONJ	21	mark
16	la	DET	17	det
17	idea	NOUN	21	nsubj
18	no	ADV	21	advmod
19	es	AUX	21	cop
20	sólo	ADV	21	advmod
21	suya	PRON	5	advcl
22	sino	CCONJ	25	cc
23	que	SCONJ	22	fixed
24	es	AUX	25	aux
25	compartida	VERB	21	conj
26	por	ADP	28	case
27	la	DET	28	det
28	mayoría	NOUN	25	obj
29	del	ADP	30	case
30	Gobierno	PROPN	28	nmod
31	,	PUNCT	32	punct
32	incluido	VERB	28	acl
33	Felipe	PROPN	32	nsubj
34	González	PROPN	33	flat
35	.	PUNCT	5	punct