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:
K vysoké poptávce zvláště po markách a dolarech se přidává ekonomická i politická nestabilita velké části světa, kde se tyto měny používají jako měny paralelní.
Postion	Tokenization
1	K
2	vysoké
3	poptávce
4	zvláště
5	po
6	markách
7	a
8	dolarech
9	se
10	přidává
11	ekonomická
12	i
13	politická
14	nestabilita
15	velké
16	části
17	světa
18	,
19	kde
20	se
21	tyto
22	měny
23	používají
24	jako
25	měny
26	paralelní
27	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	vysoké	ADJ	3	amod
3	poptávce	NOUN	10	obl
4	zvláště	ADV	6	advmod:emph
5	po	ADP	6	case
6	markách	NOUN	3	nmod
7	a	CCONJ	8	cc
8	dolarech	NOUN	6	conj
9	se	PRON	10	expl:pv
10	přidává	VERB	0	root
11	ekonomická	ADJ	14	amod
12	i	CCONJ	13	cc
13	politická	ADJ	11	conj
14	nestabilita	NOUN	10	nsubj
15	velké	ADJ	16	amod
16	části	NOUN	14	nmod
17	světa	NOUN	16	nmod
18	,	PUNCT	23	punct
19	kde	ADV	23	advmod
20	se	PRON	23	expl:pass
21	tyto	DET	22	det
22	měny	NOUN	23	nsubj:pass
23	používají	VERB	16	acl:relcl
24	jako	SCONJ	25	mark
25	měny	NOUN	22	xcomp
26	paralelní	ADJ	25	amod
27	.	PUNCT	10	punct