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:
Ministr práce a sociálních věcí Jindřich Vodička (ODS) si myslí, že propopulační politika státu musí být dlouhodobá, zaměřená na obnovu smyslu rodiny.
Postion	Tokenization
1	Ministr
2	práce
3	a
4	sociálních
5	věcí
6	Jindřich
7	Vodička
8	(
9	ODS
10	)
11	si
12	myslí
13	,
14	že
15	propopulační
16	politika
17	státu
18	musí
19	být
20	dlouhodobá
21	,
22	zaměřená
23	na
24	obnovu
25	smyslu
26	rodiny
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	12	nsubj
2	práce	NOUN	1	nmod
3	a	CCONJ	5	cc
4	sociálních	ADJ	5	amod
5	věcí	NOUN	2	conj
6	Jindřich	PROPN	1	flat
7	Vodička	PROPN	1	flat
8	(	PUNCT	1	punct
9	ODS	PROPN	1	dep
10	)	PUNCT	1	punct
11	si	PRON	12	expl:pv
12	myslí	VERB	0	root
13	,	PUNCT	18	punct
14	že	SCONJ	18	mark
15	propopulační	ADJ	16	amod
16	politika	NOUN	18	nsubj
17	státu	NOUN	16	nmod
18	musí	VERB	12	ccomp
19	být	AUX	20	cop
20	dlouhodobá	ADJ	18	xcomp
21	,	PUNCT	22	punct
22	zaměřená	ADJ	20	conj
23	na	ADP	24	case
24	obnovu	NOUN	22	obl:arg
25	smyslu	NOUN	24	nmod
26	rodiny	NOUN	25	nmod
27	.	PUNCT	12	punct