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 administración de Enagás ha nombrado a Guzmán Solana presidente ejecutivo de la compañía en sustitución de Antoni Brufau, que ha renunciado al cargo.
Postion	Tokenization
1	El
2	consejo
3	de
4	administración
5	de
6	Enagás
7	ha
8	nombrado
9	a
10	Guzmán
11	Solana
12	presidente
13	ejecutivo
14	de
15	la
16	compañía
17	en
18	sustitución
19	de
20	Antoni
21	Brufau
22	,
23	que
24	ha
25	renunciado
26	al
27	cargo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	consejo	NOUN	8	nsubj
3	de	ADP	4	case
4	administración	NOUN	2	nmod
5	de	ADP	6	case
6	Enagás	PROPN	4	nmod
7	ha	AUX	8	aux
8	nombrado	VERB	0	root
9	a	ADP	10	case
10	Guzmán	PROPN	8	obj
11	Solana	PROPN	10	flat
12	presidente	NOUN	8	obj
13	ejecutivo	ADJ	12	amod
14	de	ADP	16	case
15	la	DET	16	det
16	compañía	NOUN	12	nmod
17	en	ADP	20	case
18	sustitución	NOUN	17	fixed
19	de	ADP	17	fixed
20	Antoni	PROPN	8	obl
21	Brufau	PROPN	20	flat
22	,	PUNCT	25	punct
23	que	PRON	25	nsubj
24	ha	AUX	25	aux
25	renunciado	VERB	20	acl
26	al	ADP	27	case
27	cargo	NOUN	25	obj
28	.	PUNCT	8	punct