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:
I když tento údaj vyznívá velmi pozitivně, neboť o 9 procentních bodů přesahuje minimum požadované Českou národní bankou od příštího roku, skrývá se za ním i velký problém.
Postion	Tokenization
1	I
2	když
3	tento
4	údaj
5	vyznívá
6	velmi
7	pozitivně
8	,
9	neboť
10	o
11	9
12	procentních
13	bodů
14	přesahuje
15	minimum
16	požadované
17	Českou
18	národní
19	bankou
20	od
21	příštího
22	roku
23	,
24	skrývá
25	se
26	za
27	ním
28	i
29	velký
30	problém
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	5	mark
2	když	SCONJ	1	fixed
3	tento	DET	4	det
4	údaj	NOUN	5	nsubj
5	vyznívá	VERB	24	advcl
6	velmi	ADV	7	advmod
7	pozitivně	ADV	5	advmod
8	,	PUNCT	14	punct
9	neboť	CCONJ	14	cc
10	o	ADP	13	case
11	9	NUM	13	nummod:gov
12	procentních	ADJ	13	amod
13	bodů	NOUN	14	obl
14	přesahuje	VERB	5	conj
15	minimum	NOUN	14	obj
16	požadované	ADJ	15	amod
17	Českou	ADJ	19	amod
18	národní	ADJ	19	amod
19	bankou	NOUN	16	obl:arg
20	od	ADP	22	case
21	příštího	ADJ	22	amod
22	roku	NOUN	14	obl
23	,	PUNCT	5	punct
24	skrývá	VERB	0	root
25	se	PRON	24	expl:pv
26	za	ADP	27	case
27	ním	PRON	24	obl
28	i	CCONJ	30	advmod:emph
29	velký	ADJ	30	amod
30	problém	NOUN	24	nsubj
31	.	PUNCT	24	punct