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 text: Laureát Nobelovy ceny, jeden z nejváženějších amerických ekonomů Martin Feldstein tvrdí, že měnová unie plánovaná Maastrichtem je zbytečný luxus - regionálního vyrovnávání se totiž dá lépe dosáhnout změnami měnového kursu než odlišnými politikami pro určitá území.
Position	Tokenization	UPOS	Head	Deprel
1	Laureát	NOUN	12	nsubj
2	Nobelovy	ADJ	3	amod
3	ceny	NOUN	1	nmod
4	,	PUNCT	10	punct
5	jeden	NUM	10	nummod
6	z	ADP	9	case
7	nejváženějších	ADJ	9	amod
8	amerických	ADJ	9	amod
9	ekonomů	NOUN	5	nmod
10	Martin	PROPN	1	appos
11	Feldstein	PROPN	10	flat
12	tvrdí	VERB	0	root
13	,	PUNCT	21	punct
14	že	SCONJ	21	mark
15	měnová	ADJ	16	amod
16	unie	NOUN	21	nsubj
17	plánovaná	ADJ	16	amod
18	Maastrichtem	PROPN	17	obl:arg
19	je	AUX	21	cop
20	zbytečný	ADJ	21	amod
21	luxus	NOUN	12	ccomp
22	-	PUNCT	27	punct
23	regionálního	ADJ	24	amod
24	vyrovnávání	NOUN	29	obl:arg
25	se	PRON	27	expl:pass
26	totiž	ADV	27	advmod
27	dá	VERB	12	conj
28	lépe	ADV	29	advmod
29	dosáhnout	VERB	27	xcomp
30	změnami	NOUN	29	obl
31	měnového	ADJ	32	amod
32	kursu	NOUN	30	nmod
33	než	SCONJ	35	mark
34	odlišnými	ADJ	35	amod
35	politikami	NOUN	28	advcl
36	pro	ADP	38	case
37	určitá	ADJ	38	amod
38	území	NOUN	35	nmod
39	.	PUNCT	12	punct