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 tokenized text:
V krátkém sledu již třetí kniha na téma Dalí představuje malířův pohled na svět, jak vyplynul z rozhovoru se známým propagátorem kouzelnických jiter Louisem Pauwelsem.
Postion	Tokenization
1	V
2	krátkém
3	sledu
4	již
5	třetí
6	kniha
7	na
8	téma
9	Dalí
10	představuje
11	malířův
12	pohled
13	na
14	svět
15	,
16	jak
17	vyplynul
18	z
19	rozhovoru
20	se
21	známým
22	propagátorem
23	kouzelnických
24	jiter
25	Louisem
26	Pauwelsem
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	krátkém	ADJ	3	amod
3	sledu	NOUN	10	obl
4	již	ADV	6	advmod:emph
5	třetí	ADJ	6	amod
6	kniha	NOUN	10	nsubj
7	na	ADP	8	case
8	téma	NOUN	6	nmod
9	Dalí	PROPN	8	nmod
10	představuje	VERB	0	root
11	malířův	ADJ	12	amod
12	pohled	NOUN	10	obj
13	na	ADP	14	case
14	svět	NOUN	12	nmod
15	,	PUNCT	17	punct
16	jak	ADV	17	advmod
17	vyplynul	VERB	12	xcomp
18	z	ADP	19	case
19	rozhovoru	NOUN	17	obl:arg
20	se	ADP	22	case
21	známým	ADJ	22	amod
22	propagátorem	NOUN	19	nmod
23	kouzelnických	ADJ	24	amod
24	jiter	NOUN	22	nmod
25	Louisem	PROPN	22	flat
26	Pauwelsem	PROPN	22	flat
27	.	PUNCT	10	punct