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: (Napsal-li bych esej o schizofrénii věřícího vědce, či o tom, že jsem proti něčemu imunní či na něco alergický, neočekávám, že mi budou příslušní odborníci na mnoha stránkách vysvětlovat odborný obsah těchto pojmů, nebo vyvozovat z mých postřehů důsledky vyplývající z odborné interpretace.)
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	26	punct
2	Napsal	VERB	26	advcl
3	-	PUNCT	2	punct
4	li	PART	2	mark
5	bych	AUX	2	aux
6	esej	NOUN	2	obj
7	o	ADP	8	case
8	schizofrénii	NOUN	6	nmod
9	věřícího	ADJ	10	amod
10	vědce	NOUN	8	nmod
11	,	PUNCT	14	punct
12	či	CCONJ	14	cc
13	o	ADP	14	case
14	tom	DET	8	conj
15	,	PUNCT	20	punct
16	že	SCONJ	20	mark
17	jsem	AUX	20	cop
18	proti	ADP	19	case
19	něčemu	PRON	20	obl:arg
20	imunní	ADJ	14	acl
21	či	CCONJ	24	cc
22	na	ADP	23	case
23	něco	PRON	24	obl:arg
24	alergický	ADJ	20	conj
25	,	PUNCT	2	punct
26	neočekávám	VERB	0	root
27	,	PUNCT	36	punct
28	že	SCONJ	36	mark
29	mi	PRON	36	obl:arg
30	budou	AUX	36	aux
31	příslušní	ADJ	32	amod
32	odborníci	NOUN	36	nsubj
33	na	ADP	35	case
34	mnoha	DET	35	det:nummod
35	stránkách	NOUN	36	obl
36	vysvětlovat	VERB	26	ccomp
37	odborný	ADJ	38	amod
38	obsah	NOUN	36	obj
39	těchto	DET	40	det
40	pojmů	NOUN	38	nmod
41	,	PUNCT	43	punct
42	nebo	CCONJ	43	cc
43	vyvozovat	VERB	36	conj
44	z	ADP	46	case
45	mých	DET	46	det
46	postřehů	NOUN	43	obl:arg
47	důsledky	NOUN	43	obj
48	vyplývající	ADJ	47	amod
49	z	ADP	51	case
50	odborné	ADJ	51	amod
51	interpretace	NOUN	48	obl:arg
52	.	PUNCT	26	punct
53	)	PUNCT	26	punct