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:
Hvězdou dne byl naopak prvoligový nováček, 28letý Beneš, který se ve dvanáctiminutovém běhu zastavil až na metě 3450 metrů.
Postion	Tokenization
1	Hvězdou
2	dne
3	byl
4	naopak
5	prvoligový
6	nováček
7	,
8	28
9	letý
10	Beneš
11	,
12	který
13	se
14	ve
15	dvanáctiminutovém
16	běhu
17	zastavil
18	až
19	na
20	metě
21	3450
22	metrů
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Hvězdou	NOUN	0	root
2	dne	NOUN	1	nmod
3	byl	AUX	1	cop
4	naopak	ADV	1	advmod
5	prvoligový	ADJ	6	amod
6	nováček	NOUN	1	nsubj
7	,	PUNCT	10	punct
8	28	NUM	9	obl
9	letý	ADJ	10	amod
10	Beneš	PROPN	6	appos
11	,	PUNCT	17	punct
12	který	DET	17	nsubj
13	se	PRON	17	expl:pv
14	ve	ADP	16	case
15	dvanáctiminutovém	ADJ	16	amod
16	běhu	NOUN	17	obl
17	zastavil	VERB	6	acl:relcl
18	až	PART	20	advmod:emph
19	na	ADP	20	case
20	metě	NOUN	17	obl
21	3450	NUM	22	nummod:gov
22	metrů	NOUN	20	nmod
23	.	PUNCT	1	punct