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:
Zavedením nové měny- realu, který má zhruba stejnou hodnotu jako americký dolar- se jim podařilo snížit měsíční inflaci z původních 54 procent na pouhá čtyři procenta.
Postion	Tokenization
1	Zavedením
2	nové
3	měny
4	-
5	realu
6	,
7	který
8	má
9	zhruba
10	stejnou
11	hodnotu
12	jako
13	americký
14	dolar
15	-
16	se
17	jim
18	podařilo
19	snížit
20	měsíční
21	inflaci
22	z
23	původních
24	54
25	procent
26	na
27	pouhá
28	čtyři
29	procenta
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Zavedením	NOUN	18	obl
2	nové	ADJ	3	amod
3	měny	NOUN	1	nmod
4	-	PUNCT	5	punct
5	realu	NOUN	3	appos
6	,	PUNCT	8	punct
7	který	DET	8	nsubj
8	má	VERB	5	acl:relcl
9	zhruba	ADV	10	advmod:emph
10	stejnou	ADJ	11	amod
11	hodnotu	NOUN	8	obj
12	jako	SCONJ	14	mark
13	americký	ADJ	14	amod
14	dolar	NOUN	10	advcl
15	-	PUNCT	8	punct
16	se	PRON	18	expl:pv
17	jim	PRON	18	obl:arg
18	podařilo	VERB	0	root
19	snížit	VERB	18	csubj
20	měsíční	ADJ	21	amod
21	inflaci	NOUN	19	obj
22	z	ADP	25	case
23	původních	ADJ	25	amod
24	54	NUM	25	nummod
25	procent	NOUN	19	obl:arg
26	na	ADP	29	case
27	pouhá	ADJ	29	amod
28	čtyři	NUM	29	nummod
29	procenta	NOUN	19	obl:arg
30	.	PUNCT	18	punct