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:
Místo řešení naléhavých hospodářských obtíží si nyní bude patrně silný muž slovenské scény Vladimír Mečiar muset usmiřovat vlivnou a bohatou maďarskou menšinu, která je trpce zklamána.
Postion	Tokenization
1	Místo
2	řešení
3	naléhavých
4	hospodářských
5	obtíží
6	si
7	nyní
8	bude
9	patrně
10	silný
11	muž
12	slovenské
13	scény
14	Vladimír
15	Mečiar
16	muset
17	usmiřovat
18	vlivnou
19	a
20	bohatou
21	maďarskou
22	menšinu
23	,
24	která
25	je
26	trpce
27	zklamána
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Místo	ADP	2	case
2	řešení	NOUN	16	obl
3	naléhavých	ADJ	5	amod
4	hospodářských	ADJ	5	amod
5	obtíží	NOUN	2	nmod
6	si	PRON	17	obl
7	nyní	ADV	16	advmod
8	bude	AUX	16	aux
9	patrně	ADV	16	advmod
10	silný	ADJ	11	amod
11	muž	NOUN	16	nsubj
12	slovenské	ADJ	13	amod
13	scény	NOUN	11	nmod
14	Vladimír	PROPN	11	flat
15	Mečiar	PROPN	11	flat
16	muset	VERB	0	root
17	usmiřovat	VERB	16	xcomp
18	vlivnou	ADJ	22	amod
19	a	CCONJ	20	cc
20	bohatou	ADJ	18	conj
21	maďarskou	ADJ	22	amod
22	menšinu	NOUN	17	obj
23	,	PUNCT	27	punct
24	která	DET	27	nsubj
25	je	AUX	27	cop
26	trpce	ADV	27	advmod
27	zklamána	ADJ	22	acl:relcl
28	.	PUNCT	16	punct