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: Poznávání mozku má tedy svou dynamiku: období "normální vědy" (ve smyslu, v jakém tento termín zavedl T. S. Kuhn) se střídají s obdobími změn paradigmat.
Position	Tokenization	UPOS	Head	Deprel
1	Poznávání	NOUN	3	nsubj
2	mozku	NOUN	1	nmod
3	má	VERB	0	root
4	tedy	ADV	3	advmod
5	svou	DET	6	det
6	dynamiku	NOUN	3	obj
7	:	PUNCT	29	punct
8	období	NOUN	29	nsubj
9	"	PUNCT	11	punct
10	normální	ADJ	11	amod
11	vědy	NOUN	8	nmod
12	"	PUNCT	11	punct
13	(	PUNCT	15	punct
14	ve	ADP	15	case
15	smyslu	NOUN	11	nmod
16	,	PUNCT	21	punct
17	v	ADP	18	case
18	jakém	DET	21	det
19	tento	DET	20	det
20	termín	NOUN	21	obj
21	zavedl	VERB	15	acl
22	T	PROPN	21	nsubj
23	.	PUNCT	22	punct
24	S	PROPN	22	flat
25	.	PUNCT	24	punct
26	Kuhn	PROPN	22	flat
27	)	PUNCT	15	punct
28	se	PRON	29	obj
29	střídají	VERB	3	appos
30	s	ADP	31	case
31	obdobími	NOUN	29	obl:arg
32	změn	NOUN	31	nmod
33	paradigmat	NOUN	32	nmod
34	.	PUNCT	3	punct