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:
Menší požáry se během včerejšího dne objevily u Liptovského Mikuláše, v oblasti Dúbravy a nedaleko Važecké jeskyně, kde oheň zpustošil dvacet hektarů lesa.
Postion	Tokenization
1	Menší
2	požáry
3	se
4	během
5	včerejšího
6	dne
7	objevily
8	u
9	Liptovského
10	Mikuláše
11	,
12	v
13	oblasti
14	Dúbravy
15	a
16	nedaleko
17	Važecké
18	jeskyně
19	,
20	kde
21	oheň
22	zpustošil
23	dvacet
24	hektarů
25	lesa
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Menší	ADJ	2	amod
2	požáry	NOUN	7	nsubj
3	se	PRON	7	expl:pv
4	během	ADP	6	case
5	včerejšího	ADJ	6	amod
6	dne	NOUN	7	obl
7	objevily	VERB	0	root
8	u	ADP	10	case
9	Liptovského	ADJ	10	amod
10	Mikuláše	PROPN	7	obl
11	,	PUNCT	13	punct
12	v	ADP	13	case
13	oblasti	NOUN	10	appos
14	Dúbravy	PROPN	13	nmod
15	a	CCONJ	18	cc
16	nedaleko	ADV	18	case
17	Važecké	ADJ	18	amod
18	jeskyně	NOUN	13	conj
19	,	PUNCT	22	punct
20	kde	ADV	22	advmod
21	oheň	NOUN	22	nsubj
22	zpustošil	VERB	10	acl:relcl
23	dvacet	NUM	24	nummod:gov
24	hektarů	NOUN	22	obj
25	lesa	NOUN	24	nmod
26	.	PUNCT	7	punct