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:
Ta má údajně činit 19 procent a slovenští pivovarníci chtějí po jejím zavedení okamžitě zvýšit cenu svých piv o 25 procent, což by srovnalo podmínky.
Postion	Tokenization
1	Ta
2	má
3	údajně
4	činit
5	19
6	procent
7	a
8	slovenští
9	pivovarníci
10	chtějí
11	po
12	jejím
13	zavedení
14	okamžitě
15	zvýšit
16	cenu
17	svých
18	piv
19	o
20	25
21	procent
22	,
23	což
24	by
25	srovnalo
26	podmínky
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ta	DET	2	nsubj
2	má	VERB	0	root
3	údajně	ADV	2	advmod
4	činit	VERB	2	xcomp
5	19	NUM	6	nummod:gov
6	procent	NOUN	4	obj
7	a	CCONJ	10	cc
8	slovenští	ADJ	9	amod
9	pivovarníci	NOUN	10	nsubj
10	chtějí	VERB	2	conj
11	po	ADP	13	case
12	jejím	DET	13	det
13	zavedení	NOUN	10	obl
14	okamžitě	ADV	15	advmod
15	zvýšit	VERB	10	xcomp
16	cenu	NOUN	15	obj
17	svých	DET	18	det
18	piv	NOUN	16	nmod
19	o	ADP	21	case
20	25	NUM	21	nummod:gov
21	procent	NOUN	15	obl
22	,	PUNCT	25	punct
23	což	PRON	25	nsubj
24	by	AUX	25	aux
25	srovnalo	VERB	10	conj
26	podmínky	NOUN	25	obj
27	.	PUNCT	2	punct