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: Místo koncepce obrody školství, která by zahrnovala vše od výběru studentů pedagogických škol, přes stipendia, po jejich dostatečné ohodnocení při vstupu do praxe, na ministerstvu vymysleli snížení počtu žáků zvláštních škol z 15 na 8 (první třída), což vzhledem k nedostatku financí vedlo ke spojování normálních tříd a zvýšení počtu žáků v nich.
Position	Tokenization	UPOS	Head	Deprel
1	Místo	ADP	2	case
2	koncepce	NOUN	30	obl
3	obrody	NOUN	2	nmod
4	školství	NOUN	3	nmod
5	,	PUNCT	8	punct
6	která	DET	8	nsubj
7	by	AUX	8	aux
8	zahrnovala	VERB	2	acl:relcl
9	vše	DET	8	obj
10	od	ADP	11	case
11	výběru	NOUN	9	nmod
12	studentů	NOUN	11	nmod
13	pedagogických	ADJ	14	amod
14	škol	NOUN	12	nmod
15	,	PUNCT	17	punct
16	přes	ADP	17	case
17	stipendia	NOUN	9	nmod
18	,	PUNCT	22	punct
19	po	ADP	22	case
20	jejich	DET	22	det
21	dostatečné	ADJ	22	amod
22	ohodnocení	NOUN	9	nmod
23	při	ADP	24	case
24	vstupu	NOUN	22	nmod
25	do	ADP	26	case
26	praxe	NOUN	24	nmod
27	,	PUNCT	8	punct
28	na	ADP	29	case
29	ministerstvu	NOUN	30	obl
30	vymysleli	VERB	0	root
31	snížení	NOUN	30	obj
32	počtu	NOUN	31	nmod
33	žáků	NOUN	32	nmod
34	zvláštních	ADJ	35	amod
35	škol	NOUN	33	nmod
36	z	ADP	37	case
37	15	NUM	31	nummod
38	na	ADP	39	case
39	8	NUM	31	nummod
40	(	PUNCT	31	punct
41	první	ADJ	42	amod
42	třída	NOUN	31	dep
43	)	PUNCT	31	punct
44	,	PUNCT	50	punct
45	což	PRON	50	nsubj
46	vzhledem	ADP	48	case
47	k	ADP	46	fixed
48	nedostatku	NOUN	50	obl
49	financí	NOUN	48	nmod
50	vedlo	VERB	30	conj
51	ke	ADP	52	case
52	spojování	NOUN	50	obl
53	normálních	ADJ	54	amod
54	tříd	NOUN	52	nmod
55	a	CCONJ	56	cc
56	zvýšení	NOUN	52	conj
57	počtu	NOUN	56	nmod
58	žáků	NOUN	57	nmod
59	v	ADP	60	case
60	nich	PRON	58	nmod
61	.	PUNCT	30	punct