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:
Více na příští ligový ročník než na ten současný asi myslí týmy Brna a Bohemians, které nemají sestupové starosti jen díky předem odepsané Dukle a Vítkovicím.
Postion	Tokenization
1	Více
2	na
3	příští
4	ligový
5	ročník
6	než
7	na
8	ten
9	současný
10	asi
11	myslí
12	týmy
13	Brna
14	a
15	Bohemians
16	,
17	které
18	nemají
19	sestupové
20	starosti
21	jen
22	díky
23	předem
24	odepsané
25	Dukle
26	a
27	Vítkovicím
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Více	ADV	11	advmod
2	na	ADP	5	case
3	příští	ADJ	5	amod
4	ligový	ADJ	5	amod
5	ročník	NOUN	11	obl:arg
6	než	SCONJ	8	mark
7	na	ADP	8	case
8	ten	DET	1	dep
9	současný	ADJ	8	amod
10	asi	PART	11	advmod
11	myslí	VERB	0	root
12	týmy	NOUN	11	nsubj
13	Brna	PROPN	12	nmod
14	a	CCONJ	15	cc
15	Bohemians	PROPN	13	conj
16	,	PUNCT	18	punct
17	které	DET	18	nsubj
18	nemají	VERB	12	acl:relcl
19	sestupové	ADJ	20	amod
20	starosti	NOUN	18	obj
21	jen	PART	25	advmod:emph
22	díky	ADP	25	case
23	předem	ADV	24	advmod
24	odepsané	ADJ	25	amod
25	Dukle	PROPN	18	obl
26	a	CCONJ	27	cc
27	Vítkovicím	PROPN	25	conj
28	.	PUNCT	11	punct