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: Jeho operativní protětí, které se dělá pro některé jinak neléčitelné typy epilepsie, způsobuje spolu s protětím dalších spojek "syndrom rozštěpeného mozku" (split brain syndrom), za jehož výzkum dostal R. W. Sperry Nobelovu cenu, protože jím dokázal funkční specializaci hemisfér.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	3	det
2	operativní	ADJ	3	amod
3	protětí	NOUN	15	nsubj
4	,	PUNCT	7	punct
5	které	DET	7	nsubj:pass
6	se	PRON	7	expl:pass
7	dělá	VERB	3	acl:relcl
8	pro	ADP	12	case
9	některé	DET	12	det
10	jinak	ADV	11	advmod
11	neléčitelné	ADJ	12	amod
12	typy	NOUN	7	obl
13	epilepsie	NOUN	12	nmod
14	,	PUNCT	7	punct
15	způsobuje	VERB	0	root
16	spolu	ADV	18	case
17	s	ADP	16	fixed
18	protětím	NOUN	15	obl
19	dalších	ADJ	20	amod
20	spojek	NOUN	18	nmod
21	"	PUNCT	22	punct
22	syndrom	NOUN	15	obj
23	rozštěpeného	ADJ	24	amod
24	mozku	NOUN	22	nmod
25	"	PUNCT	22	punct
26	(	PUNCT	27	punct
27	split	ADJ	22	appos
28	brain	ADJ	27	flat:foreign
29	syndrom	NOUN	27	flat:foreign
30	)	PUNCT	27	punct
31	,	PUNCT	35	punct
32	za	ADP	34	case
33	jehož	PRON	34	nmod
34	výzkum	NOUN	35	obl
35	dostal	VERB	22	acl:relcl
36	R	PROPN	35	nsubj
37	.	PUNCT	36	punct
38	W	PROPN	36	flat
39	.	PUNCT	38	punct
40	Sperry	PROPN	36	flat
41	Nobelovu	ADJ	42	amod
42	cenu	NOUN	35	obj
43	,	PUNCT	46	punct
44	protože	SCONJ	46	mark
45	jím	PRON	46	obl
46	dokázal	VERB	35	advcl
47	funkční	ADJ	48	amod
48	specializaci	NOUN	46	obj
49	hemisfér	NOUN	48	nmod
50	.	PUNCT	15	punct