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:
Doufám ale, že zvítězí rozum a že všechny problémy reprezentace se budou řešit s kvalifikovanými lidmi, což jsou především funkcionáři federálních svazů." -
Postion	Tokenization
1	Doufám
2	ale
3	,
4	že
5	zvítězí
6	rozum
7	a
8	že
9	všechny
10	problémy
11	reprezentace
12	se
13	budou
14	řešit
15	s
16	kvalifikovanými
17	lidmi
18	,
19	což
20	jsou
21	především
22	funkcionáři
23	federálních
24	svazů
25	.
26	"
27	-
Position	Tokenization	UPOS	Head	Deprel
1	Doufám	VERB	0	root
2	ale	CCONJ	1	cc
3	,	PUNCT	5	punct
4	že	SCONJ	5	mark
5	zvítězí	VERB	1	ccomp
6	rozum	NOUN	5	nsubj
7	a	CCONJ	14	cc
8	že	SCONJ	14	mark
9	všechny	DET	10	det
10	problémy	NOUN	14	nsubj:pass
11	reprezentace	NOUN	10	nmod
12	se	PRON	14	expl:pass
13	budou	AUX	14	aux
14	řešit	VERB	5	conj
15	s	ADP	17	case
16	kvalifikovanými	ADJ	17	amod
17	lidmi	NOUN	14	obl
18	,	PUNCT	22	punct
19	což	PRON	22	nsubj
20	jsou	AUX	22	cop
21	především	ADV	22	advmod:emph
22	funkcionáři	NOUN	17	acl:relcl
23	federálních	ADJ	24	amod
24	svazů	NOUN	22	nmod
25	.	PUNCT	1	punct
26	"	PUNCT	1	punct
27	-	PUNCT	1	punct