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:
Nové krátkodobé úvěry bude IPB poskytovat za minimální úrok 11.5 %, střednědobé od 12.5 %, dlouhodobé od 14 % a eskontní od 11.5 %.
Postion	Tokenization
1	Nové
2	krátkodobé
3	úvěry
4	bude
5	IPB
6	poskytovat
7	za
8	minimální
9	úrok
10	11.5
11	%
12	_
13	,
14	střednědobé
15	od
16	12.5
17	%
18	,
19	dlouhodobé
20	od
21	14
22	%
23	a
24	eskontní
25	od
26	11.5
27	%
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nové	ADJ	3	amod
2	krátkodobé	ADJ	3	amod
3	úvěry	NOUN	6	obj
4	bude	AUX	6	aux
5	IPB	PROPN	6	nsubj
6	poskytovat	VERB	0	root
7	za	ADP	9	case
8	minimální	ADJ	9	amod
9	úrok	NOUN	6	obl
10	11.5	NUM	9	nummod
11	%	SYM	10	nmod
12	_	_	None	_
13	,	PUNCT	13	punct
14	střednědobé	ADJ	6	conj
15	od	ADP	15	case
16	12.5	NUM	13	orphan
17	%	SYM	15	nmod
18	,	PUNCT	13	punct
19	dlouhodobé	ADJ	13	orphan
20	od	ADP	20	case
21	14	NUM	13	orphan
22	%	SYM	20	nmod
23	a	CCONJ	13	cc
24	eskontní	ADJ	13	orphan
25	od	ADP	25	case
26	11.5	NUM	13	orphan
27	%	SYM	25	nmod
28	.	PUNCT	6	punct