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:
Vše nasvědčovalo tomu, že se bude opakovat krutá porážka Bayernu 1:5 z podzimního střetnutí na hřišti Freiburgu, domácí však nakonec brankami Scholla a nového kapitána Helmera vyrovnali na konečných 2:2.
Postion	Tokenization
1	Vše
2	nasvědčovalo
3	tomu
4	,
5	že
6	se
7	bude
8	opakovat
9	krutá
10	porážka
11	Bayernu
12	1
13	:
14	5
15	z
16	podzimního
17	střetnutí
18	na
19	hřišti
20	Freiburgu
21	,
22	domácí
23	však
24	nakonec
25	brankami
26	Scholla
27	a
28	nového
29	kapitána
30	Helmera
31	vyrovnali
32	na
33	konečných
34	2
35	:
36	2
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Vše	DET	2	nsubj
2	nasvědčovalo	VERB	0	root
3	tomu	DET	2	obl:arg
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	se	PRON	8	expl:pass
7	bude	AUX	8	aux
8	opakovat	VERB	3	acl
9	krutá	ADJ	10	amod
10	porážka	NOUN	8	nsubj:pass
11	Bayernu	PROPN	10	nmod
12	1	NUM	10	nummod
13	:	PUNCT	14	punct
14	5	NUM	12	conj
15	z	ADP	17	case
16	podzimního	ADJ	17	amod
17	střetnutí	NOUN	10	nmod
18	na	ADP	19	case
19	hřišti	NOUN	17	nmod
20	Freiburgu	PROPN	19	nmod
21	,	PUNCT	31	punct
22	domácí	ADJ	31	nsubj
23	však	CCONJ	31	cc
24	nakonec	ADV	31	advmod
25	brankami	NOUN	31	obl
26	Scholla	PROPN	25	nmod
27	a	CCONJ	29	cc
28	nového	ADJ	29	amod
29	kapitána	NOUN	26	conj
30	Helmera	PROPN	29	flat
31	vyrovnali	VERB	2	conj
32	na	ADP	34	case
33	konečných	ADJ	34	amod
34	2	NUM	31	obl
35	:	PUNCT	36	punct
36	2	NUM	34	conj
37	.	PUNCT	2	punct