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:
Už deset tisíc vstupenek si zakoupili fotbaloví příznivci v předprodeji na páteční jarní ligovou premiéru (16:30 hod.) třetího Boby Brno s vedoucí Slavií Praha.
Postion	Tokenization
1	Už
2	deset
3	tisíc
4	vstupenek
5	si
6	zakoupili
7	fotbaloví
8	příznivci
9	v
10	předprodeji
11	na
12	páteční
13	jarní
14	ligovou
15	premiéru
16	(
17	16
18	:
19	30
20	hod
21	.
22	)
23	třetího
24	Boby
25	Brno
26	s
27	vedoucí
28	Slavií
29	Praha
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Už	ADV	2	advmod:emph
2	deset	NUM	4	nummod:gov
3	tisíc	NUM	4	nummod:gov
4	vstupenek	NOUN	6	obj
5	si	PRON	6	obl:arg
6	zakoupili	VERB	0	root
7	fotbaloví	ADJ	8	amod
8	příznivci	NOUN	6	nsubj
9	v	ADP	10	case
10	předprodeji	NOUN	6	obl
11	na	ADP	15	case
12	páteční	ADJ	15	amod
13	jarní	ADJ	15	amod
14	ligovou	ADJ	15	amod
15	premiéru	NOUN	10	nmod
16	(	PUNCT	17	punct
17	16	NUM	15	dep
18	:	PUNCT	19	punct
19	30	NUM	17	conj
20	hod	NOUN	17	nmod
21	.	PUNCT	20	punct
22	)	PUNCT	17	punct
23	třetího	ADJ	24	amod
24	Boby	PROPN	15	nmod
25	Brno	PROPN	24	nmod
26	s	ADP	28	case
27	vedoucí	ADJ	28	amod
28	Slavií	PROPN	15	nmod
29	Praha	PROPN	28	nmod
30	.	PUNCT	6	punct