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: Neměl by ovšem dirigovat (včetně akreditace) analogicky s řízením školství základního a středního, nýbrž šetřit volný pohyb bádání, a tak reprezentovat starost vlády o zdar jedné z nejvýznamnějších složek moderní společnosti, tolik na vědě závislé.
Position	Tokenization	UPOS	Head	Deprel
1	Neměl	VERB	0	root
2	by	AUX	1	aux
3	ovšem	CCONJ	1	cc
4	dirigovat	VERB	1	xcomp
5	(	PUNCT	7	punct
6	včetně	ADP	7	case
7	akreditace	NOUN	4	obl
8	)	PUNCT	7	punct
9	analogicky	ADV	4	advmod
10	s	ADP	11	case
11	řízením	NOUN	9	obl
12	školství	NOUN	11	nmod
13	základního	ADJ	12	amod
14	a	CCONJ	15	cc
15	středního	ADJ	13	conj
16	,	PUNCT	18	punct
17	nýbrž	CCONJ	18	cc
18	šetřit	VERB	4	conj
19	volný	ADJ	20	amod
20	pohyb	NOUN	18	obj
21	bádání	NOUN	20	nmod
22	,	PUNCT	25	punct
23	a	CCONJ	25	cc
24	tak	ADV	25	advmod
25	reprezentovat	VERB	1	conj
26	starost	NOUN	25	obj
27	vlády	NOUN	26	nmod
28	o	ADP	29	case
29	zdar	NOUN	26	nmod
30	jedné	NUM	29	nummod
31	z	ADP	33	case
32	nejvýznamnějších	ADJ	33	amod
33	složek	NOUN	30	nmod
34	moderní	ADJ	35	amod
35	společnosti	NOUN	33	nmod
36	,	PUNCT	40	punct
37	tolik	ADV	40	advmod
38	na	ADP	39	case
39	vědě	NOUN	40	obl:arg
40	závislé	ADJ	30	amod
41	.	PUNCT	1	punct