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: Tak tomu je i s mnoha jinými transovými jevy - například není sice běžné, ale zase ne tak výjimečné, naučí-li se někdo řídit děj svých snů - a to protože transové stavy nebo, přesněji řečeno, stavy změněného vědomí jsou běžnou součástí našeho prožívání.
Position	Tokenization	UPOS	Head	Deprel
1	Tak	ADV	3	advmod
2	tomu	DET	3	nsubj
3	je	VERB	0	root
4	i	CCONJ	9	advmod:emph
5	s	ADP	9	case
6	mnoha	DET	9	det:nummod
7	jinými	ADJ	9	amod
8	transovými	ADJ	9	amod
9	jevy	NOUN	3	obl
10	-	PUNCT	14	punct
11	například	ADV	14	advmod
12	není	AUX	14	cop
13	sice	ADV	14	cc
14	běžné	ADJ	3	appos
15	,	PUNCT	20	punct
16	ale	CCONJ	20	cc
17	zase	ADV	19	advmod
18	ne	PART	20	advmod:emph
19	tak	ADV	20	advmod
20	výjimečné	ADJ	14	conj
21	,	PUNCT	14	punct
22	naučí	VERB	14	csubj
23	-	PUNCT	22	punct
24	li	PART	22	mark
25	se	PRON	22	expl:pv
26	někdo	PRON	22	nsubj
27	řídit	VERB	22	xcomp
28	děj	NOUN	27	obj
29	svých	DET	30	det
30	snů	NOUN	28	nmod
31	-	PUNCT	47	punct
32	a	CCONJ	47	cc
33	to	PART	32	fixed
34	protože	SCONJ	47	mark
35	transové	ADJ	36	amod
36	stavy	NOUN	47	nsubj
37	nebo	CCONJ	42	cc
38	,	PUNCT	40	punct
39	přesněji	ADV	40	advmod
40	řečeno	ADJ	42	dep
41	,	PUNCT	40	punct
42	stavy	NOUN	36	conj
43	změněného	ADJ	44	amod
44	vědomí	NOUN	42	nmod
45	jsou	AUX	47	cop
46	běžnou	ADJ	47	amod
47	součástí	NOUN	14	advcl
48	našeho	DET	49	det
49	prožívání	NOUN	47	nmod
50	.	PUNCT	3	punct