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:
Pro druhý ročník je připraveno pět kategorií- politici do 45 let a nad 45 let, osobnosti, mezi které se řadí i novináři, a dále vysokoškolští a středoškolští studenti.
Postion	Tokenization
1	Pro
2	druhý
3	ročník
4	je
5	připraveno
6	pět
7	kategorií
8	-
9	politici
10	do
11	45
12	let
13	a
14	nad
15	45
16	let
17	,
18	osobnosti
19	,
20	mezi
21	které
22	se
23	řadí
24	i
25	novináři
26	_
27	,
28	a
29	dále
30	vysokoškolští
31	a
32	středoškolští
33	studenti
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	3	case
2	druhý	ADJ	3	amod
3	ročník	NOUN	5	obl
4	je	AUX	5	cop
5	připraveno	ADJ	0	root
6	pět	NUM	7	nummod:gov
7	kategorií	NOUN	5	nsubj
8	-	PUNCT	9	punct
9	politici	NOUN	6	appos
10	do	ADP	12	case
11	45	NUM	12	nummod
12	let	NOUN	9	nmod
13	a	CCONJ	16	cc
14	nad	ADP	16	case
15	45	NUM	16	nummod:gov
16	let	NOUN	12	conj
17	,	PUNCT	18	punct
18	osobnosti	NOUN	9	conj
19	,	PUNCT	23	punct
20	mezi	ADP	21	case
21	které	DET	23	obl
22	se	PRON	23	expl:pass
23	řadí	VERB	18	acl:relcl
24	i	CCONJ	25	advmod:emph
25	novináři	NOUN	23	nsubj:pass
26	_	_	None	_
27	,	PUNCT	28	punct
28	a	CCONJ	28	cc
29	dále	ADV	5	conj
30	vysokoškolští	ADJ	32	amod
31	a	CCONJ	31	cc
32	středoškolští	ADJ	29	conj
33	studenti	NOUN	28	orphan
34	.	PUNCT	5	punct