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:
Předseda Bulharského svazu tělesné výchovy a sportu Cvetan Cvetanov byl včera zavražděn několika výstřely z pistole, když vycházel ze svého domu v Sofii.
Postion	Tokenization
1	Předseda
2	Bulharského
3	svazu
4	tělesné
5	výchovy
6	a
7	sportu
8	Cvetan
9	Cvetanov
10	byl
11	včera
12	zavražděn
13	několika
14	výstřely
15	z
16	pistole
17	,
18	když
19	vycházel
20	ze
21	svého
22	domu
23	v
24	Sofii
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Předseda	NOUN	12	nsubj:pass
2	Bulharského	ADJ	3	amod
3	svazu	NOUN	1	nmod
4	tělesné	ADJ	5	amod
5	výchovy	NOUN	3	nmod
6	a	CCONJ	7	cc
7	sportu	NOUN	5	conj
8	Cvetan	PROPN	1	flat
9	Cvetanov	PROPN	1	flat
10	byl	AUX	12	aux:pass
11	včera	ADV	12	advmod
12	zavražděn	ADJ	0	root
13	několika	DET	14	det:nummod
14	výstřely	NOUN	12	obl
15	z	ADP	16	case
16	pistole	NOUN	14	nmod
17	,	PUNCT	19	punct
18	když	SCONJ	19	mark
19	vycházel	VERB	12	advcl
20	ze	ADP	22	case
21	svého	DET	22	det
22	domu	NOUN	19	obl
23	v	ADP	24	case
24	Sofii	PROPN	22	nmod
25	.	PUNCT	12	punct