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:
Dynamiku takového modelu (jde vlastně o příklad tzv. pravděpodobnostního celulárního automatu) je možné lehce simulovat na počítači a opět se ukáže, že pro p větší než určitá hodnota pc se požár od jednoho hořícího stromu bude nekontrolovaně šířit, zatímco při p < pc po jistém čase uhasne.
Postion	Tokenization
1	Dynamiku
2	takového
3	modelu
4	(
5	jde
6	vlastně
7	o
8	příklad
9	tzv
10	.
11	pravděpodobnostního
12	celulárního
13	automatu
14	)
15	je
16	možné
17	lehce
18	simulovat
19	na
20	počítači
21	a
22	opět
23	se
24	ukáže
25	,
26	že
27	pro
28	p
29	větší
30	než
31	určitá
32	hodnota
33	pc
34	se
35	požár
36	od
37	jednoho
38	hořícího
39	stromu
40	bude
41	nekontrolovaně
42	šířit
43	,
44	zatímco
45	při
46	p
47	<
48	pc
49	po
50	jistém
51	čase
52	uhasne
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Dynamiku	NOUN	18	obj
2	takového	DET	3	det
3	modelu	NOUN	1	nmod
4	(	PUNCT	5	punct
5	jde	VERB	16	parataxis
6	vlastně	ADV	5	advmod
7	o	ADP	8	case
8	příklad	NOUN	5	obl:arg
9	tzv	ADJ	13	amod
10	.	PUNCT	9	punct
11	pravděpodobnostního	ADJ	13	amod
12	celulárního	ADJ	13	amod
13	automatu	NOUN	8	nmod
14	)	PUNCT	5	punct
15	je	AUX	16	cop
16	možné	ADJ	0	root
17	lehce	ADV	18	advmod
18	simulovat	VERB	16	csubj
19	na	ADP	20	case
20	počítači	NOUN	18	obl
21	a	CCONJ	24	cc
22	opět	ADV	24	advmod
23	se	PRON	24	expl:pv
24	ukáže	VERB	16	conj
25	,	PUNCT	52	punct
26	že	SCONJ	52	mark
27	pro	ADP	28	case
28	p	NOUN	42	obl
29	větší	ADJ	28	amod
30	než	SCONJ	32	mark
31	určitá	ADJ	32	amod
32	hodnota	NOUN	29	advcl
33	pc	NOUN	32	nmod
34	se	PRON	42	expl:pv
35	požár	NOUN	42	nsubj
36	od	ADP	39	case
37	jednoho	NUM	39	nummod
38	hořícího	ADJ	39	amod
39	stromu	NOUN	35	nmod
40	bude	AUX	42	aux
41	nekontrolovaně	ADV	42	advmod
42	šířit	VERB	52	advcl
43	,	PUNCT	42	punct
44	zatímco	SCONJ	42	mark
45	při	ADP	46	case
46	p	NOUN	52	obl
47	<	SYM	46	cc
48	pc	NOUN	46	obl
49	po	ADP	51	case
50	jistém	ADJ	51	amod
51	čase	NOUN	52	obl
52	uhasne	VERB	24	csubj
53	.	PUNCT	16	punct