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:
Právem proto poukazuje paní Berková na rozpor mezi rétorikou našich vládních úředníků, hovořících o vlastní odpovědnosti rodin, a mírou zdanění, která odpovídá spíše filozofii sociálního státu.
Postion	Tokenization
1	Právem
2	proto
3	poukazuje
4	paní
5	Berková
6	na
7	rozpor
8	mezi
9	rétorikou
10	našich
11	vládních
12	úředníků
13	,
14	hovořících
15	o
16	vlastní
17	odpovědnosti
18	rodin
19	,
20	a
21	mírou
22	zdanění
23	,
24	která
25	odpovídá
26	spíše
27	filozofii
28	sociálního
29	státu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Právem	ADV	3	advmod
2	proto	CCONJ	3	cc
3	poukazuje	VERB	0	root
4	paní	NOUN	3	nsubj
5	Berková	PROPN	4	flat
6	na	ADP	7	case
7	rozpor	NOUN	3	obl:arg
8	mezi	ADP	9	case
9	rétorikou	NOUN	7	nmod
10	našich	DET	12	det
11	vládních	ADJ	12	amod
12	úředníků	NOUN	9	nmod
13	,	PUNCT	14	punct
14	hovořících	ADJ	12	amod
15	o	ADP	17	case
16	vlastní	ADJ	17	amod
17	odpovědnosti	NOUN	14	obl:arg
18	rodin	NOUN	17	nmod
19	,	PUNCT	14	punct
20	a	CCONJ	21	cc
21	mírou	NOUN	9	conj
22	zdanění	NOUN	21	nmod
23	,	PUNCT	25	punct
24	která	DET	25	nsubj
25	odpovídá	VERB	21	acl:relcl
26	spíše	ADV	25	advmod
27	filozofii	NOUN	25	obl:arg
28	sociálního	ADJ	29	amod
29	státu	NOUN	27	nmod
30	.	PUNCT	3	punct