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:
V odpovědi na interpelaci Václava Grulicha (ČSSD) ve věci privatizace státního podniku Petrof Hradec Králové to uvedl předseda vlády Václav Klaus (ODS).
Postion	Tokenization
1	V
2	odpovědi
3	na
4	interpelaci
5	Václava
6	Grulicha
7	(
8	ČSSD
9	)
10	ve
11	věci
12	privatizace
13	státního
14	podniku
15	Petrof
16	Hradec
17	Králové
18	to
19	uvedl
20	předseda
21	vlády
22	Václav
23	Klaus
24	(
25	ODS
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	odpovědi	NOUN	19	obl
3	na	ADP	4	case
4	interpelaci	NOUN	2	nmod
5	Václava	PROPN	4	nmod
6	Grulicha	PROPN	5	flat
7	(	PUNCT	5	punct
8	ČSSD	PROPN	5	dep
9	)	PUNCT	5	punct
10	ve	ADP	11	case
11	věci	NOUN	2	nmod
12	privatizace	NOUN	11	nmod
13	státního	ADJ	14	amod
14	podniku	NOUN	12	nmod
15	Petrof	PROPN	14	nmod
16	Hradec	PROPN	15	nmod
17	Králové	PROPN	16	nmod
18	to	DET	19	obj
19	uvedl	VERB	0	root
20	předseda	NOUN	19	nsubj
21	vlády	NOUN	20	nmod
22	Václav	PROPN	20	flat
23	Klaus	PROPN	20	flat
24	(	PUNCT	20	punct
25	ODS	PROPN	20	dep
26	)	PUNCT	20	punct
27	.	PUNCT	19	punct