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 text: zeptali jsme se ing. IVANA PILIPA, ekonomického náměstka českého ministra školství (KDS): Česká vláda počítá se zvážením spoluúčasti občanů na financování vysokého školství, ministerstvo školství to dokonce navrhuje u škol středních.
Position	Tokenization	UPOS	Head	Deprel
1	zeptali	VERB	0	root
2	jsme	AUX	1	aux
3	se	PRON	1	expl:pv
4	ing	NOUN	6	nmod
5	.	PUNCT	4	punct
6	IVANA	PROPN	1	obl:arg
7	PILIPA	PROPN	6	flat
8	,	PUNCT	10	punct
9	ekonomického	ADJ	10	amod
10	náměstka	NOUN	6	appos
11	českého	ADJ	12	amod
12	ministra	NOUN	10	nmod
13	školství	NOUN	12	nmod
14	(	PUNCT	6	punct
15	KDS	PROPN	6	dep
16	)	PUNCT	6	punct
17	:	PUNCT	20	punct
18	Česká	ADJ	19	amod
19	vláda	NOUN	20	nsubj
20	počítá	VERB	1	ccomp
21	se	ADP	22	case
22	zvážením	NOUN	20	obl:arg
23	spoluúčasti	NOUN	22	nmod
24	občanů	NOUN	23	nmod
25	na	ADP	26	case
26	financování	NOUN	23	nmod
27	vysokého	ADJ	28	amod
28	školství	NOUN	26	nmod
29	,	PUNCT	34	punct
30	ministerstvo	NOUN	34	nsubj
31	školství	NOUN	30	nmod
32	to	DET	34	obj
33	dokonce	ADV	34	advmod:emph
34	navrhuje	VERB	20	conj
35	u	ADP	36	case
36	škol	NOUN	34	obl
37	středních	ADJ	36	amod
38	.	PUNCT	1	punct