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:
Scenáristé naštěstí neobdařili Frankensteinova netvora citáty z klasiků, jak si roku 1818 mohla dovolit jeho máti Mary, mladičká žena básníka Shelleyho.
Postion	Tokenization
1	Scenáristé
2	naštěstí
3	neobdařili
4	Frankensteinova
5	netvora
6	citáty
7	z
8	klasiků
9	,
10	jak
11	si
12	roku
13	1818
14	mohla
15	dovolit
16	jeho
17	máti
18	Mary
19	,
20	mladičká
21	žena
22	básníka
23	Shelleyho
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Scenáristé	NOUN	3	nsubj
2	naštěstí	ADV	3	advmod
3	neobdařili	VERB	0	root
4	Frankensteinova	ADJ	5	amod
5	netvora	NOUN	3	obj
6	citáty	NOUN	3	obl:arg
7	z	ADP	8	case
8	klasiků	NOUN	6	nmod
9	,	PUNCT	14	punct
10	jak	ADV	14	advmod
11	si	PRON	15	expl:pv
12	roku	NOUN	14	obl
13	1818	NUM	12	nummod
14	mohla	VERB	3	advcl
15	dovolit	VERB	14	xcomp
16	jeho	DET	18	det
17	máti	NOUN	18	nmod
18	Mary	PROPN	14	nsubj
19	,	PUNCT	21	punct
20	mladičká	ADJ	21	amod
21	žena	NOUN	18	appos
22	básníka	NOUN	21	nmod
23	Shelleyho	PROPN	22	flat
24	.	PUNCT	3	punct