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:
Pražské pivovary zvyšují od příštího pondělí 27. února cenu značek Staropramen, Měšťan a Branické pivo v průměru o 9.85 procenta, což představuje zhruba 60 haléřů na půllitr.
Postion	Tokenization
1	Pražské
2	pivovary
3	zvyšují
4	od
5	příštího
6	pondělí
7	27
8	.
9	února
10	cenu
11	značek
12	Staropramen
13	,
14	Měšťan
15	a
16	Branické
17	pivo
18	v
19	průměru
20	o
21	9.85
22	procenta
23	,
24	což
25	představuje
26	zhruba
27	60
28	haléřů
29	na
30	půllitr
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pražské	ADJ	2	amod
2	pivovary	NOUN	3	nsubj
3	zvyšují	VERB	0	root
4	od	ADP	6	case
5	příštího	ADJ	6	amod
6	pondělí	NOUN	3	obl
7	27	NUM	9	nummod
8	.	PUNCT	7	punct
9	února	NOUN	6	nmod
10	cenu	NOUN	3	obj
11	značek	NOUN	10	nmod
12	Staropramen	PROPN	11	nmod
13	,	PUNCT	14	punct
14	Měšťan	NOUN	12	conj
15	a	CCONJ	17	cc
16	Branické	ADJ	17	amod
17	pivo	NOUN	12	conj
18	v	ADP	19	case
19	průměru	NOUN	3	obl
20	o	ADP	22	case
21	9.85	NUM	22	nummod:gov
22	procenta	NOUN	3	obl
23	,	PUNCT	25	punct
24	což	PRON	25	nsubj
25	představuje	VERB	3	conj
26	zhruba	ADV	27	advmod:emph
27	60	NUM	28	nummod:gov
28	haléřů	NOUN	25	obj
29	na	ADP	30	case
30	půllitr	NOUN	28	nmod
31	.	PUNCT	3	punct