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: Je sice pravda, že se po narození nebo brzy potom - alespoň u savců - nervové buňky mozkové kůry již nedělí, avšak pod vlivem zevních i vnitřních podnětů rozsáhle mění své elektrické i chemické chování (krátkodobě i dlouhodobě), jakož i stavbu svých výběžků, které mohou růst do délky, větvit se a stavět spoje s výběžky jiných nervových buněk.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	3	cop
2	sice	ADV	3	cc
3	pravda	NOUN	0	root
4	,	PUNCT	22	punct
5	že	SCONJ	22	mark
6	se	PRON	22	expl:pv
7	po	ADP	8	case
8	narození	NOUN	22	obl
9	nebo	CCONJ	11	cc
10	brzy	ADV	11	advmod
11	potom	ADV	8	conj
12	-	PUNCT	15	punct
13	alespoň	ADV	15	advmod:emph
14	u	ADP	15	case
15	savců	NOUN	22	obl
16	-	PUNCT	15	punct
17	nervové	ADJ	18	amod
18	buňky	NOUN	22	nsubj
19	mozkové	ADJ	20	amod
20	kůry	NOUN	18	nmod
21	již	ADV	22	advmod
22	nedělí	VERB	3	csubj
23	,	PUNCT	32	punct
24	avšak	CCONJ	32	cc
25	pod	ADP	30	case
26	vlivem	NOUN	25	fixed
27	zevních	ADJ	30	amod
28	i	CCONJ	29	cc
29	vnitřních	ADJ	27	conj
30	podnětů	NOUN	32	obl
31	rozsáhle	ADV	32	advmod
32	mění	VERB	3	conj
33	své	DET	37	det
34	elektrické	ADJ	37	amod
35	i	CCONJ	36	cc
36	chemické	ADJ	34	conj
37	chování	NOUN	32	obj
38	(	PUNCT	39	punct
39	krátkodobě	ADV	32	advmod
40	i	CCONJ	41	cc
41	dlouhodobě	ADV	39	conj
42	)	PUNCT	39	punct
43	,	PUNCT	46	punct
44	jakož	SCONJ	46	cc
45	i	CCONJ	46	cc
46	stavbu	NOUN	37	conj
47	svých	DET	48	det
48	výběžků	NOUN	46	nmod
49	,	PUNCT	51	punct
50	které	DET	51	nsubj
51	mohou	VERB	48	acl:relcl
52	růst	VERB	51	xcomp
53	do	ADP	54	case
54	délky	NOUN	52	obl
55	,	PUNCT	56	punct
56	větvit	VERB	52	conj
57	se	PRON	56	expl:pv
58	a	CCONJ	59	cc
59	stavět	VERB	52	conj
60	spoje	NOUN	59	obj
61	s	ADP	62	case
62	výběžky	NOUN	60	nmod
63	jiných	ADJ	65	amod
64	nervových	ADJ	65	amod
65	buněk	NOUN	62	nmod
66	.	PUNCT	3	punct