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:
Ještě jinou interpretaci perkolačního modelu dostaneme, představujeme-li si vrcholy mřížky obsazené stromy v lese (či spíše, vzhledem k pravidelnosti mřížky, v sadu), kterým se šíří požár.
Postion	Tokenization
1	Ještě
2	jinou
3	interpretaci
4	perkolačního
5	modelu
6	dostaneme
7	,
8	představujeme
9	-
10	li
11	si
12	vrcholy
13	mřížky
14	obsazené
15	stromy
16	v
17	lese
18	(
19	či
20	spíše
21	,
22	vzhledem
23	k
24	pravidelnosti
25	mřížky
26	,
27	v
28	sadu
29	)
30	,
31	kterým
32	se
33	šíří
34	požár
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Ještě	ADV	2	advmod:emph
2	jinou	ADJ	3	amod
3	interpretaci	NOUN	6	obj
4	perkolačního	ADJ	5	amod
5	modelu	NOUN	3	nmod
6	dostaneme	VERB	0	root
7	,	PUNCT	8	punct
8	představujeme	VERB	6	advcl
9	-	PUNCT	8	punct
10	li	PART	8	mark
11	si	PRON	8	expl:pv
12	vrcholy	NOUN	8	obj
13	mřížky	NOUN	12	nmod
14	obsazené	ADJ	12	xcomp
15	stromy	NOUN	14	obl
16	v	ADP	17	case
17	lese	NOUN	15	nmod
18	(	PUNCT	17	punct
19	či	CCONJ	20	cc
20	spíše	ADV	15	dep
21	,	PUNCT	24	punct
22	vzhledem	ADP	24	case
23	k	ADP	22	fixed
24	pravidelnosti	NOUN	20	conj
25	mřížky	NOUN	24	nmod
26	,	PUNCT	24	punct
27	v	ADP	28	case
28	sadu	NOUN	20	conj
29	)	PUNCT	28	punct
30	,	PUNCT	33	punct
31	kterým	DET	33	obl
32	se	PRON	33	expl:pv
33	šíří	VERB	17	acl:relcl
34	požár	NOUN	33	nsubj
35	.	PUNCT	6	punct