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: U narkoleptických psů byly ve střední části prodloužené míchy nalezeny skupinky nervových buněk, které jsou vysoce aktivní pouze v průběhu ztráty svalového napětí (kataplexie) a při paradoxním (REM) spánku (Science 252 , 1315, 1991).
Position	Tokenization	UPOS	Head	Deprel
1	U	ADP	3	case
2	narkoleptických	ADJ	3	amod
3	psů	NOUN	10	obl
4	byly	AUX	10	aux:pass
5	ve	ADP	7	case
6	střední	ADJ	7	amod
7	části	NOUN	10	obl
8	prodloužené	ADJ	9	amod
9	míchy	NOUN	7	nmod
10	nalezeny	ADJ	0	root
11	skupinky	NOUN	10	nsubj:pass
12	nervových	ADJ	13	amod
13	buněk	NOUN	11	nmod
14	,	PUNCT	18	punct
15	které	DET	18	nsubj
16	jsou	AUX	18	cop
17	vysoce	ADV	18	advmod
18	aktivní	ADJ	13	acl:relcl
19	pouze	ADV	22	advmod:emph
20	v	ADP	22	case
21	průběhu	NOUN	20	fixed
22	ztráty	NOUN	34	obl
23	svalového	ADJ	24	amod
24	napětí	NOUN	22	nmod
25	(	PUNCT	26	punct
26	kataplexie	NOUN	22	appos
27	)	PUNCT	26	punct
28	a	CCONJ	34	cc
29	při	ADP	34	case
30	paradoxním	ADJ	34	amod
31	(	PUNCT	32	punct
32	REM	ADJ	30	appos
33	)	PUNCT	32	punct
34	spánku	NOUN	18	obl
35	(	PUNCT	10	punct
36	Science	PROPN	10	dep
37	252	NUM	36	nummod
38	,	PUNCT	39	punct
39	1315	NUM	36	nummod
40	,	PUNCT	41	punct
41	1991	NUM	36	nummod
42	)	PUNCT	10	punct
43	.	PUNCT	10	punct