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:
Bližší upřesnění však odmítl s tím, že vláda čeká na to, jak se nyní zachovají komerční banky, které by měly úvěry na bytovou výstavbu poskytovat.
Postion	Tokenization
1	Bližší
2	upřesnění
3	však
4	odmítl
5	s
6	tím
7	,
8	že
9	vláda
10	čeká
11	na
12	to
13	,
14	jak
15	se
16	nyní
17	zachovají
18	komerční
19	banky
20	,
21	které
22	by
23	měly
24	úvěry
25	na
26	bytovou
27	výstavbu
28	poskytovat
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Bližší	ADJ	2	amod
2	upřesnění	NOUN	4	obj
3	však	CCONJ	4	cc
4	odmítl	VERB	0	root
5	s	ADP	6	case
6	tím	DET	4	obl
7	,	PUNCT	10	punct
8	že	SCONJ	10	mark
9	vláda	NOUN	10	nsubj
10	čeká	VERB	6	acl
11	na	ADP	12	case
12	to	DET	10	obl:arg
13	,	PUNCT	17	punct
14	jak	ADV	17	advmod
15	se	PRON	17	expl:pv
16	nyní	ADV	17	advmod
17	zachovají	VERB	12	acl
18	komerční	ADJ	19	amod
19	banky	NOUN	17	nsubj
20	,	PUNCT	23	punct
21	které	DET	23	nsubj
22	by	AUX	23	aux
23	měly	VERB	19	acl:relcl
24	úvěry	NOUN	28	obj
25	na	ADP	27	case
26	bytovou	ADJ	27	amod
27	výstavbu	NOUN	24	nmod
28	poskytovat	VERB	23	xcomp
29	.	PUNCT	4	punct