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: To teprve minulý režim oddělil podle svého vyhlašovaného východního vzoru vědu a univerzitu, přičemž té první určil pěstovat tzv. základní výzkum, zatímco ta druhá měla především úkol vzdělávat, a to vždy s ideologickým předznamenáním v duchu "vědy" marxismu-leninismu.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	5	discourse
2	teprve	ADV	5	advmod
3	minulý	ADJ	4	amod
4	režim	NOUN	5	nsubj
5	oddělil	VERB	0	root
6	podle	ADP	10	case
7	svého	DET	10	det
8	vyhlašovaného	ADJ	10	amod
9	východního	ADJ	10	amod
10	vzoru	NOUN	5	obl
11	vědu	NOUN	5	obj
12	a	CCONJ	13	cc
13	univerzitu	NOUN	11	conj
14	,	PUNCT	18	punct
15	přičemž	ADV	18	advmod
16	té	DET	18	obl:arg
17	první	ADJ	16	xcomp
18	určil	VERB	5	conj
19	pěstovat	VERB	18	xcomp
20	tzv	ADJ	23	amod
21	.	PUNCT	20	punct
22	základní	ADJ	23	amod
23	výzkum	NOUN	19	obj
24	,	PUNCT	28	punct
25	zatímco	SCONJ	28	mark
26	ta	DET	28	nsubj
27	druhá	ADJ	26	xcomp
28	měla	VERB	18	advcl
29	především	ADV	30	advmod:emph
30	úkol	NOUN	28	obj
31	vzdělávat	VERB	30	acl
32	,	PUNCT	35	punct
33	a	CCONJ	35	cc
34	to	PART	33	fixed
35	vždy	ADV	31	advmod
36	s	ADP	38	case
37	ideologickým	ADJ	38	amod
38	předznamenáním	NOUN	31	obl
39	v	ADP	42	case
40	duchu	NOUN	39	fixed
41	"	PUNCT	42	punct
42	vědy	NOUN	38	nmod
43	"	PUNCT	42	punct
44	marxismu	NOUN	42	nmod
45	-	PUNCT	46	punct
46	leninismu	NOUN	44	conj
47	.	PUNCT	5	punct