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:
Tento pokles dolaru vůči ostatním měnám pokračoval i v pátek, přičemž nejkritičtější hodnoty zaznamenal vůči jenu, když se v této relaci nebezpečně přiblížil svému poválečnému minimu.
Postion	Tokenization
1	Tento
2	pokles
3	dolaru
4	vůči
5	ostatním
6	měnám
7	pokračoval
8	i
9	v
10	pátek
11	,
12	přičemž
13	nejkritičtější
14	hodnoty
15	zaznamenal
16	vůči
17	jenu
18	,
19	když
20	se
21	v
22	této
23	relaci
24	nebezpečně
25	přiblížil
26	svému
27	poválečnému
28	minimu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tento	DET	2	det
2	pokles	NOUN	7	nsubj
3	dolaru	NOUN	2	nmod
4	vůči	ADP	6	case
5	ostatním	ADJ	6	amod
6	měnám	NOUN	2	nmod
7	pokračoval	VERB	0	root
8	i	CCONJ	10	advmod:emph
9	v	ADP	10	case
10	pátek	NOUN	7	obl
11	,	PUNCT	15	punct
12	přičemž	ADV	15	advmod
13	nejkritičtější	ADJ	14	amod
14	hodnoty	NOUN	15	obj
15	zaznamenal	VERB	7	conj
16	vůči	ADP	17	case
17	jenu	NOUN	15	obl
18	,	PUNCT	25	punct
19	když	SCONJ	25	mark
20	se	PRON	25	expl:pv
21	v	ADP	23	case
22	této	DET	23	det
23	relaci	NOUN	25	obl
24	nebezpečně	ADV	25	advmod
25	přiblížil	VERB	15	advcl
26	svému	DET	28	det
27	poválečnému	ADJ	28	amod
28	minimu	NOUN	25	obl:arg
29	.	PUNCT	7	punct