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:
Vzestup marky vůči dolaru i evropským měnám v posledních dvou týdnech lze vysvětlit vysokou úrokovou mírou v Německu, ale také nedůvěrou mnoha investorů v úspěšné dovršení ekonomické a měnové unie.
Postion	Tokenization
1	Vzestup
2	marky
3	vůči
4	dolaru
5	i
6	evropským
7	měnám
8	v
9	posledních
10	dvou
11	týdnech
12	lze
13	vysvětlit
14	vysokou
15	úrokovou
16	mírou
17	v
18	Německu
19	,
20	ale
21	také
22	nedůvěrou
23	mnoha
24	investorů
25	v
26	úspěšné
27	dovršení
28	ekonomické
29	a
30	měnové
31	unie
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzestup	NOUN	13	obj
2	marky	NOUN	1	nmod
3	vůči	ADP	4	case
4	dolaru	NOUN	1	nmod
5	i	CCONJ	7	cc
6	evropským	ADJ	7	amod
7	měnám	NOUN	4	conj
8	v	ADP	11	case
9	posledních	ADJ	11	amod
10	dvou	NUM	11	nummod
11	týdnech	NOUN	1	nmod
12	lze	VERB	0	root
13	vysvětlit	VERB	12	csubj
14	vysokou	ADJ	16	amod
15	úrokovou	ADJ	16	amod
16	mírou	NOUN	13	obl
17	v	ADP	18	case
18	Německu	PROPN	16	nmod
19	,	PUNCT	22	punct
20	ale	CCONJ	22	cc
21	také	ADV	22	advmod:emph
22	nedůvěrou	NOUN	16	conj
23	mnoha	DET	24	det:nummod
24	investorů	NOUN	22	nmod
25	v	ADP	27	case
26	úspěšné	ADJ	27	amod
27	dovršení	NOUN	22	nmod
28	ekonomické	ADJ	31	amod
29	a	CCONJ	30	cc
30	měnové	ADJ	28	conj
31	unie	NOUN	27	nmod
32	.	PUNCT	12	punct