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:
Proč nyní navrhujete snížení státní dotace soukromým středním školám z dosavadních 90 na 70 procent, když se tolik hlásíte k podpoře alternativního školství?
Postion	Tokenization
1	Proč
2	nyní
3	navrhujete
4	snížení
5	státní
6	dotace
7	soukromým
8	středním
9	školám
10	z
11	dosavadních
12	90
13	na
14	70
15	procent
16	,
17	když
18	se
19	tolik
20	hlásíte
21	k
22	podpoře
23	alternativního
24	školství
25	?
Position	Tokenization	UPOS	Head	Deprel
1	Proč	ADV	3	advmod
2	nyní	ADV	3	advmod
3	navrhujete	VERB	0	root
4	snížení	NOUN	3	obj
5	státní	ADJ	6	amod
6	dotace	NOUN	4	nmod
7	soukromým	ADJ	9	amod
8	středním	ADJ	9	amod
9	školám	NOUN	6	nmod
10	z	ADP	12	case
11	dosavadních	ADJ	12	amod
12	90	NUM	4	nummod
13	na	ADP	15	case
14	70	NUM	15	nummod:gov
15	procent	NOUN	4	nmod
16	,	PUNCT	20	punct
17	když	SCONJ	20	mark
18	se	PRON	20	expl:pv
19	tolik	ADV	20	advmod
20	hlásíte	VERB	3	advcl
21	k	ADP	22	case
22	podpoře	NOUN	20	obl:arg
23	alternativního	ADJ	24	amod
24	školství	NOUN	22	nmod
25	?	PUNCT	3	punct