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:
Mnohé rodiče, kterým soukromá škola zvyšuje školné, pozlobí informace, že školy církevní mají od státu 100 procent srovnatelných nákladů se školami státními.
Postion	Tokenization
1	Mnohé
2	rodiče
3	,
4	kterým
5	soukromá
6	škola
7	zvyšuje
8	školné
9	,
10	pozlobí
11	informace
12	,
13	že
14	školy
15	církevní
16	mají
17	od
18	státu
19	100
20	procent
21	srovnatelných
22	nákladů
23	se
24	školami
25	státními
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Mnohé	ADJ	2	amod
2	rodiče	NOUN	10	obj
3	,	PUNCT	7	punct
4	kterým	DET	7	obl:arg
5	soukromá	ADJ	6	amod
6	škola	NOUN	7	nsubj
7	zvyšuje	VERB	2	acl:relcl
8	školné	NOUN	7	obj
9	,	PUNCT	7	punct
10	pozlobí	VERB	0	root
11	informace	NOUN	10	nsubj
12	,	PUNCT	16	punct
13	že	SCONJ	16	mark
14	školy	NOUN	16	nsubj
15	církevní	ADJ	14	amod
16	mají	VERB	11	acl
17	od	ADP	18	case
18	státu	NOUN	16	obl
19	100	NUM	20	nummod:gov
20	procent	NOUN	16	obj
21	srovnatelných	ADJ	22	amod
22	nákladů	NOUN	20	nmod
23	se	ADP	24	case
24	školami	NOUN	21	obl
25	státními	ADJ	24	amod
26	.	PUNCT	10	punct