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:
Slyšela jste o tom, že by školy mohly být financovány ne podle toho, kolik dostaly loni, ale jedním z hlavních kritérií by se stal počet žáků?
Postion	Tokenization
1	Slyšela
2	jste
3	o
4	tom
5	,
6	že
7	by
8	školy
9	mohly
10	být
11	financovány
12	ne
13	podle
14	toho
15	,
16	kolik
17	dostaly
18	loni
19	,
20	ale
21	jedním
22	z
23	hlavních
24	kritérií
25	by
26	se
27	stal
28	počet
29	žáků
30	?
Position	Tokenization	UPOS	Head	Deprel
1	Slyšela	VERB	0	root
2	jste	AUX	1	aux
3	o	ADP	4	case
4	tom	DET	1	obl:arg
5	,	PUNCT	9	punct
6	že	SCONJ	9	mark
7	by	AUX	9	aux
8	školy	NOUN	9	nsubj
9	mohly	VERB	4	acl
10	být	AUX	11	cop
11	financovány	ADJ	9	xcomp
12	ne	PART	14	advmod:emph
13	podle	ADP	14	case
14	toho	DET	11	obl
15	,	PUNCT	17	punct
16	kolik	DET	17	obj
17	dostaly	VERB	14	acl
18	loni	ADV	17	advmod
19	,	PUNCT	27	punct
20	ale	CCONJ	27	cc
21	jedním	NUM	27	obl:arg
22	z	ADP	24	case
23	hlavních	ADJ	24	amod
24	kritérií	NOUN	21	nmod
25	by	AUX	27	aux
26	se	PRON	27	expl:pv
27	stal	VERB	9	conj
28	počet	NOUN	27	nsubj
29	žáků	NOUN	28	nmod
30	?	PUNCT	1	punct