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:
Osmatřicetiletý Mathias Werner, kterého 21. 8. na Konečného náměstí zbili dva útočníci baseballovou pálkou do hlavy, včera zemřel na neurochirurgickém oddělení v Brně- Bohunicích.
Postion	Tokenization
1	Osmatřicetiletý
2	Mathias
3	Werner
4	,
5	kterého
6	21
7	.
8	8
9	.
10	na
11	Konečného
12	náměstí
13	zbili
14	dva
15	útočníci
16	baseballovou
17	pálkou
18	do
19	hlavy
20	,
21	včera
22	zemřel
23	na
24	neurochirurgickém
25	oddělení
26	v
27	Brně
28	-
29	Bohunicích
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Osmatřicetiletý	ADJ	2	amod
2	Mathias	PROPN	22	nsubj
3	Werner	PROPN	2	flat
4	,	PUNCT	13	punct
5	kterého	DET	13	obj
6	21	NUM	8	compound
7	.	PUNCT	6	punct
8	8	NUM	13	obl
9	.	PUNCT	8	punct
10	na	ADP	12	case
11	Konečného	PROPN	12	nmod
12	náměstí	NOUN	13	obl
13	zbili	VERB	2	acl:relcl
14	dva	NUM	15	nummod
15	útočníci	NOUN	13	nsubj
16	baseballovou	ADJ	17	amod
17	pálkou	NOUN	13	obl
18	do	ADP	19	case
19	hlavy	NOUN	13	obl
20	,	PUNCT	13	punct
21	včera	ADV	22	advmod
22	zemřel	VERB	0	root
23	na	ADP	25	case
24	neurochirurgickém	ADJ	25	amod
25	oddělení	NOUN	22	obl
26	v	ADP	27	case
27	Brně	PROPN	25	nmod
28	-	PUNCT	29	punct
29	Bohunicích	PROPN	27	nmod
30	.	PUNCT	22	punct