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:
Nacido en Belgrado, es doctor en Derecho, brillante profesor e intelectual de verbo fácil y desprovisto de charlatanería, ese pecado frecuente en la vida política serbia.
Postion	Tokenization
1	Nacido
2	en
3	Belgrado
4	,
5	es
6	doctor
7	en
8	Derecho
9	,
10	brillante
11	profesor
12	e
13	intelectual
14	de
15	verbo
16	fácil
17	y
18	desprovisto
19	de
20	charlatanería
21	,
22	ese
23	pecado
24	frecuente
25	en
26	la
27	vida
28	política
29	serbia
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nacido	ADJ	6	advmod
2	en	ADP	3	case
3	Belgrado	PROPN	1	obl
4	,	PUNCT	1	punct
5	es	AUX	6	cop
6	doctor	NOUN	0	root
7	en	ADP	8	case
8	Derecho	PROPN	6	nmod
9	,	PUNCT	11	punct
10	brillante	ADJ	11	amod
11	profesor	NOUN	6	conj
12	e	CCONJ	13	cc
13	intelectual	NOUN	6	conj
14	de	ADP	15	case
15	verbo	NOUN	13	nmod
16	fácil	ADJ	15	amod
17	y	CCONJ	18	cc
18	desprovisto	ADJ	16	conj
19	de	ADP	20	case
20	charlatanería	NOUN	18	obj
21	,	PUNCT	23	punct
22	ese	DET	23	det
23	pecado	NOUN	20	appos
24	frecuente	ADJ	23	amod
25	en	ADP	27	case
26	la	DET	27	det
27	vida	NOUN	23	nmod
28	política	ADJ	27	amod
29	serbia	ADJ	27	amod
30	.	PUNCT	6	punct