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:
Řada hospodářských opatření prováděných v Polsku je podle Wałęsy nesprávná a je velice špatně přijímána na Západě, a proto je třeba, aby ekonomické resorty řídili skuteční odborníci.
Postion	Tokenization
1	Řada
2	hospodářských
3	opatření
4	prováděných
5	v
6	Polsku
7	je
8	podle
9	Wałęsy
10	nesprávná
11	a
12	je
13	velice
14	špatně
15	přijímána
16	na
17	Západě
18	,
19	a
20	proto
21	je
22	třeba
23	,
24	aby
25	aby
26	by
27	ekonomické
28	resorty
29	řídili
30	skuteční
31	odborníci
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Řada	NOUN	10	nsubj
2	hospodářských	ADJ	3	amod
3	opatření	NOUN	1	nmod
4	prováděných	ADJ	3	amod
5	v	ADP	6	case
6	Polsku	PROPN	4	obl
7	je	AUX	10	cop
8	podle	ADP	9	case
9	Wałęsy	PROPN	10	obl
10	nesprávná	ADJ	0	root
11	a	CCONJ	15	cc
12	je	AUX	15	aux:pass
13	velice	ADV	14	advmod
14	špatně	ADV	15	advmod
15	přijímána	ADJ	10	conj
16	na	ADP	17	case
17	Západě	NOUN	15	obl
18	,	PUNCT	22	punct
19	a	CCONJ	22	cc
20	proto	CCONJ	22	cc
21	je	AUX	22	cop
22	třeba	ADJ	10	conj
23	,	PUNCT	28	punct
24	aby	_	None	_
25	aby	SCONJ	28	mark
26	by	AUX	28	aux
27	ekonomické	ADJ	27	amod
28	resorty	NOUN	28	obj
29	řídili	VERB	22	csubj
30	skuteční	ADJ	30	amod
31	odborníci	NOUN	28	nsubj
32	.	PUNCT	10	punct