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:
Viktoria se vrátila se staronovým názvem i na útulný stadión v Luční ulici, na exligový Cheb přišlo třikrát tolik diváků než dříve - a dočkali se porážky 0:3.
Postion	Tokenization
1	Viktoria
2	se
3	vrátila
4	se
5	staronovým
6	názvem
7	i
8	na
9	útulný
10	stadión
11	v
12	Luční
13	ulici
14	,
15	na
16	exligový
17	Cheb
18	přišlo
19	třikrát
20	tolik
21	diváků
22	než
23	dříve
24	-
25	a
26	dočkali
27	se
28	porážky
29	0
30	:
31	3
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Viktoria	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	vrátila	VERB	0	root
4	se	ADP	6	case
5	staronovým	ADJ	6	amod
6	názvem	NOUN	3	obl
7	i	CCONJ	10	advmod:emph
8	na	ADP	10	case
9	útulný	ADJ	10	amod
10	stadión	NOUN	3	obl
11	v	ADP	13	case
12	Luční	ADJ	13	amod
13	ulici	NOUN	10	nmod
14	,	PUNCT	18	punct
15	na	ADP	17	case
16	exligový	ADJ	17	amod
17	Cheb	PROPN	18	obl
18	přišlo	VERB	3	conj
19	třikrát	ADV	20	obl
20	tolik	DET	21	det:numgov
21	diváků	NOUN	18	nsubj
22	než	SCONJ	23	mark
23	dříve	ADV	20	advcl
24	-	PUNCT	26	punct
25	a	CCONJ	26	cc
26	dočkali	VERB	18	conj
27	se	PRON	26	expl:pv
28	porážky	NOUN	26	obl:arg
29	0	NUM	28	nummod
30	:	PUNCT	31	punct
31	3	NUM	29	conj
32	.	PUNCT	3	punct