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:
Mezinárodní výbor Červeného kříže včera oznámil, že ve městě Butare na jihu země bylo v neděli zabito 21 dětí a 13 dobrovolných pracovníků místního Červeného kříže.
Postion	Tokenization
1	Mezinárodní
2	výbor
3	Červeného
4	kříže
5	včera
6	oznámil
7	,
8	že
9	ve
10	městě
11	Butare
12	na
13	jihu
14	země
15	bylo
16	v
17	neděli
18	zabito
19	21
20	dětí
21	a
22	13
23	dobrovolných
24	pracovníků
25	místního
26	Červeného
27	kříže
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mezinárodní	ADJ	2	amod
2	výbor	NOUN	6	nsubj
3	Červeného	ADJ	4	amod
4	kříže	NOUN	2	nmod
5	včera	ADV	6	advmod
6	oznámil	VERB	0	root
7	,	PUNCT	18	punct
8	že	SCONJ	18	mark
9	ve	ADP	10	case
10	městě	NOUN	18	obl
11	Butare	PROPN	10	nmod
12	na	ADP	13	case
13	jihu	NOUN	11	nmod
14	země	NOUN	13	nmod
15	bylo	AUX	18	aux:pass
16	v	ADP	17	case
17	neděli	NOUN	18	obl
18	zabito	ADJ	6	obj
19	21	NUM	20	nummod:gov
20	dětí	NOUN	18	nsubj:pass
21	a	CCONJ	24	cc
22	13	NUM	24	nummod:gov
23	dobrovolných	ADJ	24	amod
24	pracovníků	NOUN	20	conj
25	místního	ADJ	27	amod
26	Červeného	ADJ	27	amod
27	kříže	NOUN	24	nmod
28	.	PUNCT	6	punct