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:
Generální prokuratura SR začala zkoumat, zda zveřejněním antisemitských textů nedošlo k porušení zákona o politických stranách, který nepovoluje registraci stran podněcujících rasovou nenávist.
Postion	Tokenization
1	Generální
2	prokuratura
3	SR
4	začala
5	zkoumat
6	,
7	zda
8	zveřejněním
9	antisemitských
10	textů
11	nedošlo
12	k
13	porušení
14	zákona
15	o
16	politických
17	stranách
18	,
19	který
20	nepovoluje
21	registraci
22	stran
23	podněcujících
24	rasovou
25	nenávist
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Generální	ADJ	2	amod
2	prokuratura	NOUN	4	nsubj
3	SR	PROPN	2	nmod
4	začala	VERB	0	root
5	zkoumat	VERB	4	xcomp
6	,	PUNCT	11	punct
7	zda	SCONJ	11	mark
8	zveřejněním	NOUN	11	obl
9	antisemitských	ADJ	10	amod
10	textů	NOUN	8	nmod
11	nedošlo	VERB	5	ccomp
12	k	ADP	13	case
13	porušení	NOUN	11	obl:arg
14	zákona	NOUN	13	nmod
15	o	ADP	17	case
16	politických	ADJ	17	amod
17	stranách	NOUN	14	nmod
18	,	PUNCT	20	punct
19	který	DET	20	nsubj
20	nepovoluje	VERB	14	acl:relcl
21	registraci	NOUN	20	obj
22	stran	NOUN	21	nmod
23	podněcujících	ADJ	22	amod
24	rasovou	ADJ	25	amod
25	nenávist	NOUN	23	obj
26	.	PUNCT	4	punct