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:
Ramallo ha sido vicepresidente de la Comisión Nacional del Mercado de Valores (CNMV) y consejero del Banco de España, y actualmente ejerce como notario en Madrid.
Postion	Tokenization
1	Ramallo
2	ha
3	sido
4	vicepresidente
5	de
6	la
7	Comisión
8	Nacional
9	del
10	Mercado
11	de
12	Valores
13	(
14	CNMV
15	)
16	y
17	consejero
18	del
19	Banco
20	de
21	España
22	,
23	y
24	actualmente
25	ejerce
26	como
27	notario
28	en
29	Madrid
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ramallo	PROPN	4	nsubj
2	ha	AUX	4	aux
3	sido	AUX	4	cop
4	vicepresidente	NOUN	0	root
5	de	ADP	7	case
6	la	DET	7	det
7	Comisión	PROPN	4	nmod
8	Nacional	PROPN	7	flat
9	del	ADP	10	case
10	Mercado	PROPN	7	flat
11	de	ADP	12	case
12	Valores	PROPN	7	flat
13	(	PUNCT	14	punct
14	CNMV	PROPN	7	flat
15	)	PUNCT	14	punct
16	y	CCONJ	17	cc
17	consejero	NOUN	4	conj
18	del	ADP	19	case
19	Banco	PROPN	17	nmod
20	de	ADP	21	case
21	España	PROPN	19	flat
22	,	PUNCT	25	punct
23	y	CCONJ	25	cc
24	actualmente	ADV	25	advmod
25	ejerce	VERB	4	conj
26	como	SCONJ	27	mark
27	notario	NOUN	25	obj
28	en	ADP	29	case
29	Madrid	PROPN	25	obl
30	.	PUNCT	4	punct