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:
Ukáže-li se, že návštěva dobré veselohry v divadle má podobný účinek jako stimulancia imunity, bude to znamenat významný pokrok v medicíně.
Postion	Tokenization
1	Ukáže
2	-
3	li
4	se
5	,
6	že
7	návštěva
8	dobré
9	veselohry
10	v
11	divadle
12	má
13	podobný
14	účinek
15	jako
16	stimulancia
17	imunity
18	,
19	bude
20	to
21	znamenat
22	významný
23	pokrok
24	v
25	medicíně
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ukáže	VERB	21	advcl
2	-	PUNCT	1	punct
3	li	PART	1	mark
4	se	PRON	1	expl:pv
5	,	PUNCT	12	punct
6	že	SCONJ	12	mark
7	návštěva	NOUN	12	nsubj
8	dobré	ADJ	9	amod
9	veselohry	NOUN	7	nmod
10	v	ADP	11	case
11	divadle	NOUN	9	nmod
12	má	VERB	1	csubj
13	podobný	ADJ	14	amod
14	účinek	NOUN	12	obj
15	jako	SCONJ	16	mark
16	stimulancia	NOUN	13	advcl
17	imunity	NOUN	16	nmod
18	,	PUNCT	1	punct
19	bude	AUX	21	aux
20	to	DET	21	nsubj
21	znamenat	VERB	0	root
22	významný	ADJ	23	amod
23	pokrok	NOUN	21	obj
24	v	ADP	25	case
25	medicíně	NOUN	23	nmod
26	.	PUNCT	21	punct