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:
Podle údajů, které mají LN k dispozici, se na vládních úvěrech, které byly od počátku poskytnuty v konvertibilních měnách, nejvíce podílejí arabské státy.
Postion	Tokenization
1	Podle
2	údajů
3	,
4	které
5	mají
6	LN
7	k
8	dispozici
9	,
10	se
11	na
12	vládních
13	úvěrech
14	,
15	které
16	byly
17	od
18	počátku
19	poskytnuty
20	v
21	konvertibilních
22	měnách
23	,
24	nejvíce
25	podílejí
26	arabské
27	státy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	údajů	NOUN	25	obl
3	,	PUNCT	5	punct
4	které	DET	5	obj
5	mají	VERB	2	acl:relcl
6	LN	PROPN	5	nsubj
7	k	ADP	8	case
8	dispozici	NOUN	5	obl
9	,	PUNCT	5	punct
10	se	PRON	25	expl:pv
11	na	ADP	13	case
12	vládních	ADJ	13	amod
13	úvěrech	NOUN	25	obl:arg
14	,	PUNCT	19	punct
15	které	DET	19	nsubj:pass
16	byly	AUX	19	aux:pass
17	od	ADP	18	case
18	počátku	NOUN	19	obl
19	poskytnuty	ADJ	13	amod
20	v	ADP	22	case
21	konvertibilních	ADJ	22	amod
22	měnách	NOUN	19	obl
23	,	PUNCT	13	punct
24	nejvíce	ADV	25	advmod
25	podílejí	VERB	0	root
26	arabské	ADJ	27	amod
27	státy	NOUN	25	nsubj
28	.	PUNCT	25	punct