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:
Není se co divit, že si to učiliště vysvětlují převážně tak, jako by se ministerstvo školství chtělo zbavit odpovědnosti za 60 procent středoškolské mládeže.
Postion	Tokenization
1	Není
2	se
3	co
4	divit
5	,
6	že
7	si
8	to
9	učiliště
10	vysvětlují
11	převážně
12	tak
13	,
14	jako
15	by
16	se
17	ministerstvo
18	školství
19	chtělo
20	zbavit
21	odpovědnosti
22	za
23	60
24	procent
25	středoškolské
26	mládeže
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Není	VERB	0	root
2	se	PRON	4	expl:pv
3	co	ADV	4	advmod
4	divit	VERB	1	ccomp
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	si	PRON	10	obl:arg
8	to	DET	10	obj
9	učiliště	NOUN	10	nsubj
10	vysvětlují	VERB	4	ccomp
11	převážně	ADV	12	advmod:emph
12	tak	ADV	10	advmod
13	,	PUNCT	19	punct
14	jako	SCONJ	19	mark
15	by	AUX	19	aux
16	se	PRON	20	expl:pv
17	ministerstvo	NOUN	19	nsubj
18	školství	NOUN	17	nmod
19	chtělo	VERB	10	advcl
20	zbavit	VERB	19	xcomp
21	odpovědnosti	NOUN	20	obl:arg
22	za	ADP	24	case
23	60	NUM	24	nummod:gov
24	procent	NOUN	21	nmod
25	středoškolské	ADJ	26	amod
26	mládeže	NOUN	24	nmod
27	.	PUNCT	1	punct