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:
Václav Klaus v jednu chvíli poznamenal, že slovenská strana chce samostatnost za české peníze, a otázal se zástupců HZDS: Jste hrdý národ, nebo nejste?
Postion	Tokenization
1	Václav
2	Klaus
3	v
4	jednu
5	chvíli
6	poznamenal
7	,
8	že
9	slovenská
10	strana
11	chce
12	samostatnost
13	za
14	české
15	peníze
16	,
17	a
18	otázal
19	se
20	zástupců
21	HZDS
22	:
23	Jste
24	hrdý
25	národ
26	,
27	nebo
28	nejste
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Václav	PROPN	6	nsubj
2	Klaus	PROPN	1	flat
3	v	ADP	5	case
4	jednu	NUM	5	nummod
5	chvíli	NOUN	6	obl
6	poznamenal	VERB	0	root
7	,	PUNCT	11	punct
8	že	SCONJ	11	mark
9	slovenská	ADJ	10	amod
10	strana	NOUN	11	nsubj
11	chce	VERB	6	ccomp
12	samostatnost	NOUN	11	obj
13	za	ADP	15	case
14	české	ADJ	15	amod
15	peníze	NOUN	12	nmod
16	,	PUNCT	11	punct
17	a	CCONJ	18	cc
18	otázal	VERB	6	conj
19	se	PRON	18	expl:pv
20	zástupců	NOUN	18	obl:arg
21	HZDS	PROPN	20	nmod
22	:	PUNCT	25	punct
23	Jste	AUX	25	cop
24	hrdý	ADJ	25	amod
25	národ	NOUN	18	ccomp
26	,	PUNCT	28	punct
27	nebo	CCONJ	28	cc
28	nejste	VERB	25	conj
29	?	PUNCT	6	punct