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 informací LN činí například české pohledávky v Jemenu 739 miliónů korun, v Súdánu 1.19 miliardy korun a v Mosambiku 411 miliónů korun.
Postion	Tokenization
1	Podle
2	informací
3	LN
4	činí
5	například
6	české
7	pohledávky
8	v
9	Jemenu
10	739
11	miliónů
12	korun
13	_
14	,
15	v
16	Súdánu
17	1.19
18	miliardy
19	korun
20	a
21	v
22	Mosambiku
23	411
24	miliónů
25	korun
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	informací	NOUN	4	obl
3	LN	PROPN	2	nmod
4	činí	VERB	0	root
5	například	ADV	7	advmod:emph
6	české	ADJ	7	amod
7	pohledávky	NOUN	4	nsubj
8	v	ADP	9	case
9	Jemenu	PROPN	7	nmod
10	739	NUM	11	nummod:gov
11	miliónů	NOUN	4	obj
12	korun	NOUN	11	nmod
13	_	_	None	_
14	,	PUNCT	15	punct
15	v	ADP	15	case
16	Súdánu	PROPN	4	conj
17	1.19	NUM	17	nummod:gov
18	miliardy	NOUN	15	orphan
19	korun	NOUN	17	nmod
20	a	CCONJ	15	cc
21	v	ADP	21	case
22	Mosambiku	PROPN	15	orphan
23	411	NUM	23	nummod:gov
24	miliónů	NOUN	15	orphan
25	korun	NOUN	23	nmod
26	.	PUNCT	4	punct