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:
Na otázku LN, proč je školáků tak málo, odpověděl starosta Ralska Jindřich Eder: Sověti odešli před čtyřmi lety a tady je v podstatě pořád mrtvé území.
Postion	Tokenization
1	Na
2	otázku
3	LN
4	,
5	proč
6	je
7	školáků
8	tak
9	málo
10	,
11	odpověděl
12	starosta
13	Ralska
14	Jindřich
15	Eder
16	:
17	Sověti
18	odešli
19	před
20	čtyřmi
21	lety
22	a
23	tady
24	je
25	v
26	podstatě
27	pořád
28	mrtvé
29	území
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	otázku	NOUN	11	obl:arg
3	LN	PROPN	2	nmod
4	,	PUNCT	6	punct
5	proč	ADV	6	advmod
6	je	VERB	2	acl
7	školáků	NOUN	6	nsubj
8	tak	ADV	9	advmod
9	málo	DET	7	det:numgov
10	,	PUNCT	6	punct
11	odpověděl	VERB	0	root
12	starosta	NOUN	11	nsubj
13	Ralska	PROPN	12	nmod
14	Jindřich	PROPN	12	flat
15	Eder	PROPN	12	flat
16	:	PUNCT	18	punct
17	Sověti	NOUN	18	nsubj
18	odešli	VERB	11	ccomp
19	před	ADP	21	case
20	čtyřmi	NUM	21	nummod
21	lety	NOUN	18	obl
22	a	CCONJ	24	cc
23	tady	ADV	24	advmod
24	je	VERB	18	conj
25	v	ADP	26	case
26	podstatě	NOUN	24	obl
27	pořád	ADV	24	advmod
28	mrtvé	ADJ	29	amod
29	území	NOUN	24	nsubj
30	.	PUNCT	11	punct