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:
Odpověděl tak včera na dotaz LN na setkání zástupců těchto agentur se zástupcem ministerstva vnitra Květoslavem Kramářem, poslancem parlamentu Tomášem Svobodou, představiteli pražského magistrátu a jinými zainteresovanými osobami.
Postion	Tokenization
1	Odpověděl
2	tak
3	včera
4	na
5	dotaz
6	LN
7	na
8	setkání
9	zástupců
10	těchto
11	agentur
12	se
13	zástupcem
14	ministerstva
15	vnitra
16	Květoslavem
17	Kramářem
18	,
19	poslancem
20	parlamentu
21	Tomášem
22	Svobodou
23	,
24	představiteli
25	pražského
26	magistrátu
27	a
28	jinými
29	zainteresovanými
30	osobami
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Odpověděl	VERB	0	root
2	tak	ADV	1	advmod
3	včera	ADV	1	advmod
4	na	ADP	5	case
5	dotaz	NOUN	1	obl:arg
6	LN	PROPN	5	nmod
7	na	ADP	8	case
8	setkání	NOUN	5	nmod
9	zástupců	NOUN	8	nmod
10	těchto	DET	11	det
11	agentur	NOUN	9	nmod
12	se	ADP	13	case
13	zástupcem	NOUN	8	nmod
14	ministerstva	NOUN	13	nmod
15	vnitra	NOUN	14	nmod
16	Květoslavem	PROPN	13	flat
17	Kramářem	PROPN	13	flat
18	,	PUNCT	19	punct
19	poslancem	NOUN	13	conj
20	parlamentu	NOUN	19	nmod
21	Tomášem	PROPN	19	flat
22	Svobodou	PROPN	19	flat
23	,	PUNCT	24	punct
24	představiteli	NOUN	13	conj
25	pražského	ADJ	26	amod
26	magistrátu	NOUN	24	nmod
27	a	CCONJ	30	cc
28	jinými	ADJ	30	amod
29	zainteresovanými	ADJ	30	amod
30	osobami	NOUN	13	conj
31	.	PUNCT	1	punct