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:
Z uhrančivě krásné Alžběty, jež podle svého vyprávění přináší mužům jen zkázu, se vyklube životem ubitá prostitutka, jež se ve skutečnosti jmenuje Eva.
Postion	Tokenization
1	Z
2	uhrančivě
3	krásné
4	Alžběty
5	,
6	jež
7	podle
8	svého
9	vyprávění
10	přináší
11	mužům
12	jen
13	zkázu
14	,
15	se
16	vyklube
17	životem
18	ubitá
19	prostitutka
20	,
21	jež
22	se
23	ve
24	skutečnosti
25	jmenuje
26	Eva
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	4	case
2	uhrančivě	ADV	3	advmod
3	krásné	ADJ	4	amod
4	Alžběty	PROPN	16	obl
5	,	PUNCT	10	punct
6	jež	PRON	10	nsubj
7	podle	ADP	9	case
8	svého	DET	9	det
9	vyprávění	NOUN	10	obl
10	přináší	VERB	4	acl:relcl
11	mužům	NOUN	10	obl
12	jen	PART	13	advmod:emph
13	zkázu	NOUN	10	obj
14	,	PUNCT	10	punct
15	se	PRON	16	expl:pv
16	vyklube	VERB	0	root
17	životem	NOUN	18	obl
18	ubitá	ADJ	19	amod
19	prostitutka	NOUN	16	nsubj
20	,	PUNCT	25	punct
21	jež	PRON	25	nsubj
22	se	PRON	25	expl:pv
23	ve	ADP	24	case
24	skutečnosti	NOUN	25	obl
25	jmenuje	VERB	19	acl:relcl
26	Eva	PROPN	25	obl
27	.	PUNCT	16	punct