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:
V Bratislavě nastoupí ke druhému oficiálnímu zápasu proti Slovensku, které v minulých dnech sehrálo dva přátelské zápasy na domácím ledě proti Norsku s výsledky 3:1 a 2:3.
Postion	Tokenization
1	V
2	Bratislavě
3	nastoupí
4	ke
5	druhému
6	oficiálnímu
7	zápasu
8	proti
9	Slovensku
10	,
11	které
12	v
13	minulých
14	dnech
15	sehrálo
16	dva
17	přátelské
18	zápasy
19	na
20	domácím
21	ledě
22	proti
23	Norsku
24	s
25	výsledky
26	3
27	:
28	1
29	a
30	2
31	:
32	3
33	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Bratislavě	PROPN	3	obl
3	nastoupí	VERB	0	root
4	ke	ADP	7	case
5	druhému	ADJ	7	amod
6	oficiálnímu	ADJ	7	amod
7	zápasu	NOUN	3	obl
8	proti	ADP	9	case
9	Slovensku	PROPN	7	nmod
10	,	PUNCT	15	punct
11	které	DET	15	nsubj
12	v	ADP	14	case
13	minulých	ADJ	14	amod
14	dnech	NOUN	15	obl
15	sehrálo	VERB	9	acl:relcl
16	dva	NUM	18	nummod
17	přátelské	ADJ	18	amod
18	zápasy	NOUN	15	obj
19	na	ADP	21	case
20	domácím	ADJ	21	amod
21	ledě	NOUN	18	nmod
22	proti	ADP	23	case
23	Norsku	PROPN	18	nmod
24	s	ADP	25	case
25	výsledky	NOUN	18	nmod
26	3	NUM	25	nummod
27	:	PUNCT	28	punct
28	1	NUM	26	conj
29	a	CCONJ	30	cc
30	2	NUM	26	conj
31	:	PUNCT	32	punct
32	3	NUM	30	conj
33	.	PUNCT	3	punct