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 text: Zatímco část mezinárodního společenství vybavená účinnými klapkami na očích křičí, že takto tvrdě se prý nepostupovalo ani proti rasistické Jihoafrické republice, Bělehrad si bude moci okamžitě podat žádost o přijetí do OSN.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	10	mark
2	část	NOUN	10	nsubj
3	mezinárodního	ADJ	4	amod
4	společenství	NOUN	2	nmod
5	vybavená	ADJ	2	amod
6	účinnými	ADJ	7	amod
7	klapkami	NOUN	5	obl
8	na	ADP	9	case
9	očích	NOUN	7	nmod
10	křičí	VERB	27	advcl
11	,	PUNCT	17	punct
12	že	SCONJ	17	mark
13	takto	ADV	14	advmod
14	tvrdě	ADV	17	advmod
15	se	PRON	17	expl:pass
16	prý	PART	17	advmod
17	nepostupovalo	VERB	10	ccomp
18	ani	CCONJ	22	advmod:emph
19	proti	ADP	22	case
20	rasistické	ADJ	22	amod
21	Jihoafrické	ADJ	22	amod
22	republice	NOUN	17	obl:arg
23	,	PUNCT	17	punct
24	Bělehrad	PROPN	27	nsubj
25	si	PRON	29	obl
26	bude	AUX	27	aux
27	moci	VERB	0	root
28	okamžitě	ADV	29	advmod
29	podat	VERB	27	xcomp
30	žádost	NOUN	29	obj
31	o	ADP	32	case
32	přijetí	NOUN	30	nmod
33	do	ADP	34	case
34	OSN	PROPN	32	nmod
35	.	PUNCT	27	punct