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:
Před trojicí pronásledovatelů (Slavia, Sparta, Vítkovice) má sice tříbodový náskok, ale na potvrzení účasti v play off potřebuje získat minimálně tři body.
Postion	Tokenization
1	Před
2	trojicí
3	pronásledovatelů
4	(
5	Slavia
6	,
7	Sparta
8	,
9	Vítkovice
10	)
11	má
12	sice
13	tříbodový
14	náskok
15	,
16	ale
17	na
18	potvrzení
19	účasti
20	v
21	play
22	off
23	potřebuje
24	získat
25	minimálně
26	tři
27	body
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Před	ADP	2	case
2	trojicí	NOUN	11	obl
3	pronásledovatelů	NOUN	2	nmod
4	(	PUNCT	5	punct
5	Slavia	PROPN	3	dep
6	,	PUNCT	7	punct
7	Sparta	PROPN	5	conj
8	,	PUNCT	9	punct
9	Vítkovice	PROPN	5	conj
10	)	PUNCT	5	punct
11	má	VERB	0	root
12	sice	ADV	23	cc
13	tříbodový	ADJ	14	amod
14	náskok	NOUN	11	obj
15	,	PUNCT	23	punct
16	ale	CCONJ	23	cc
17	na	ADP	18	case
18	potvrzení	NOUN	23	obl
19	účasti	NOUN	18	nmod
20	v	ADP	21	case
21	play	NOUN	19	nmod
22	off	PART	21	flat:foreign
23	potřebuje	VERB	11	conj
24	získat	VERB	23	xcomp
25	minimálně	ADV	27	advmod:emph
26	tři	NUM	27	nummod
27	body	NOUN	24	obj
28	.	PUNCT	11	punct