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:
Legální světový trh se štěpnými materiály je přesycen, ovšem pro některé politicky nespolehlivé země (Irák, Severní Korea, Indie, Pákistán a Bangladéš) jsou tyto látky nedostupné.
Postion	Tokenization
1	Legální
2	světový
3	trh
4	se
5	štěpnými
6	materiály
7	je
8	přesycen
9	,
10	ovšem
11	pro
12	některé
13	politicky
14	nespolehlivé
15	země
16	(
17	Irák
18	,
19	Severní
20	Korea
21	,
22	Indie
23	,
24	Pákistán
25	a
26	Bangladéš
27	)
28	jsou
29	tyto
30	látky
31	nedostupné
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Legální	ADJ	3	amod
2	světový	ADJ	3	amod
3	trh	NOUN	8	nsubj
4	se	ADP	6	case
5	štěpnými	ADJ	6	amod
6	materiály	NOUN	3	nmod
7	je	AUX	8	cop
8	přesycen	ADJ	0	root
9	,	PUNCT	31	punct
10	ovšem	CCONJ	31	cc
11	pro	ADP	15	case
12	některé	DET	15	det
13	politicky	ADV	14	advmod
14	nespolehlivé	ADJ	15	amod
15	země	NOUN	31	obl
16	(	PUNCT	17	punct
17	Irák	PROPN	15	appos
18	,	PUNCT	20	punct
19	Severní	ADJ	20	amod
20	Korea	PROPN	17	conj
21	,	PUNCT	22	punct
22	Indie	PROPN	17	conj
23	,	PUNCT	24	punct
24	Pákistán	PROPN	17	conj
25	a	CCONJ	26	cc
26	Bangladéš	PROPN	17	conj
27	)	PUNCT	17	punct
28	jsou	AUX	31	cop
29	tyto	DET	30	det
30	látky	NOUN	31	nsubj
31	nedostupné	ADJ	8	conj
32	.	PUNCT	8	punct