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:
Jak vyplývá z údajů České národní banky, s výjimkou Egypta a Alžírska většina dlužníků vládní úvěry, které byly sjednány v mnoha případech ještě předlistopadovými vládami, nesplácí.
Postion	Tokenization
1	Jak
2	vyplývá
3	z
4	údajů
5	České
6	národní
7	banky
8	,
9	s
10	výjimkou
11	Egypta
12	a
13	Alžírska
14	většina
15	dlužníků
16	vládní
17	úvěry
18	,
19	které
20	byly
21	sjednány
22	v
23	mnoha
24	případech
25	ještě
26	předlistopadovými
27	vládami
28	,
29	nesplácí
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	SCONJ	2	mark
2	vyplývá	VERB	29	parataxis
3	z	ADP	4	case
4	údajů	NOUN	2	obl:arg
5	České	ADJ	7	amod
6	národní	ADJ	7	amod
7	banky	NOUN	4	nmod
8	,	PUNCT	2	punct
9	s	ADP	11	case
10	výjimkou	NOUN	9	fixed
11	Egypta	PROPN	29	obl
12	a	CCONJ	13	cc
13	Alžírska	PROPN	11	conj
14	většina	NOUN	29	nsubj
15	dlužníků	NOUN	14	nmod
16	vládní	ADJ	17	amod
17	úvěry	NOUN	29	obj
18	,	PUNCT	21	punct
19	které	DET	21	nsubj:pass
20	byly	AUX	21	aux:pass
21	sjednány	ADJ	17	amod
22	v	ADP	24	case
23	mnoha	DET	24	det:nummod
24	případech	NOUN	21	obl
25	ještě	ADV	27	advmod:emph
26	předlistopadovými	ADJ	27	amod
27	vládami	NOUN	21	obl:arg
28	,	PUNCT	21	punct
29	nesplácí	VERB	0	root
30	.	PUNCT	29	punct