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:
Prudce se zvýšily mezibankovní úrokové míry, a to týdenní z červnových 6.05 na 7.53 procenta, tříměsíční z 6.98 na 7.97 procenta a půlroční z 7.28 na 8.04 procenta.
Postion	Tokenization
1	Prudce
2	se
3	zvýšily
4	mezibankovní
5	úrokové
6	míry
7	,
8	a
9	to
10	týdenní
11	z
12	červnových
13	6.05
14	na
15	7.53
16	procenta
17	,
18	tříměsíční
19	z
20	6.98
21	na
22	7.97
23	procenta
24	a
25	půlroční
26	z
27	7.28
28	na
29	8.04
30	procenta
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Prudce	ADV	3	advmod
2	se	PRON	3	expl:pv
3	zvýšily	VERB	0	root
4	mezibankovní	ADJ	6	amod
5	úrokové	ADJ	6	amod
6	míry	NOUN	3	nsubj
7	,	PUNCT	10	punct
8	a	CCONJ	10	cc
9	to	PART	8	fixed
10	týdenní	ADJ	3	dep
11	z	ADP	13	case
12	červnových	ADJ	13	amod
13	6.05	NUM	10	conj
14	na	ADP	16	case
15	7.53	NUM	16	nummod:gov
16	procenta	NOUN	10	conj
17	,	PUNCT	18	punct
18	tříměsíční	ADJ	10	conj
19	z	ADP	20	case
20	6.98	NUM	10	conj
21	na	ADP	23	case
22	7.97	NUM	23	nummod:gov
23	procenta	NOUN	10	conj
24	a	CCONJ	25	cc
25	půlroční	ADJ	10	conj
26	z	ADP	27	case
27	7.28	NUM	10	conj
28	na	ADP	30	case
29	8.04	NUM	30	nummod:gov
30	procenta	NOUN	10	conj
31	.	PUNCT	3	punct