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 primer presidente de la Bulgaria postcomunista, Pétar Mladénov, falleció anoche a los 64 años, informó hoy, jueves, la Radio Nacional búlgara.
Postion	Tokenization
1	El
2	primer
3	presidente
4	de
5	la
6	Bulgaria
7	postcomunista
8	,
9	Pétar
10	Mladénov
11	,
12	falleció
13	anoche
14	a
15	los
16	64
17	años
18	,
19	informó
20	hoy
21	,
22	jueves
23	,
24	la
25	Radio
26	Nacional
27	búlgara
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	presidente	NOUN	12	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	Bulgaria	PROPN	3	nmod
7	postcomunista	ADJ	6	amod
8	,	PUNCT	9	punct
9	Pétar	PROPN	3	appos
10	Mladénov	PROPN	9	flat
11	,	PUNCT	9	punct
12	falleció	VERB	19	ccomp
13	anoche	ADV	12	advmod
14	a	ADP	17	case
15	los	DET	16	det
16	64	NUM	17	nummod
17	años	NOUN	12	obl
18	,	PUNCT	12	punct
19	informó	VERB	0	root
20	hoy	ADV	19	advmod
21	,	PUNCT	22	punct
22	jueves	NOUN	20	obl
23	,	PUNCT	22	punct
24	la	DET	25	det
25	Radio	PROPN	19	nsubj
26	Nacional	PROPN	25	flat
27	búlgara	ADJ	25	amod
28	.	PUNCT	19	punct