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:
Nakonec však dospívá do situace, kterou pojmenovala ve svých hrách z osmdesátých let (Princezna T. a Báj) i Daniela Fischerová: "Ďábel nikdy nekupuje polovinu duše".
Postion	Tokenization
1	Nakonec
2	však
3	dospívá
4	do
5	situace
6	,
7	kterou
8	pojmenovala
9	ve
10	svých
11	hrách
12	z
13	osmdesátých
14	let
15	(
16	Princezna
17	T
18	.
19	a
20	Báj
21	)
22	i
23	Daniela
24	Fischerová
25	:
26	"
27	Ďábel
28	nikdy
29	nekupuje
30	polovinu
31	duše
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Nakonec	ADV	3	advmod
2	však	CCONJ	3	cc
3	dospívá	VERB	0	root
4	do	ADP	5	case
5	situace	NOUN	3	obl
6	,	PUNCT	8	punct
7	kterou	DET	8	obj
8	pojmenovala	VERB	5	acl:relcl
9	ve	ADP	11	case
10	svých	DET	11	det
11	hrách	NOUN	8	obl
12	z	ADP	14	case
13	osmdesátých	ADJ	14	amod
14	let	NOUN	11	nmod
15	(	PUNCT	17	punct
16	Princezna	NOUN	17	nmod
17	T	PROPN	11	appos
18	.	PUNCT	17	punct
19	a	CCONJ	20	cc
20	Báj	NOUN	17	conj
21	)	PUNCT	17	punct
22	i	CCONJ	23	advmod:emph
23	Daniela	PROPN	8	nsubj
24	Fischerová	PROPN	23	flat
25	:	PUNCT	8	punct
26	"	PUNCT	29	punct
27	Ďábel	NOUN	29	nsubj
28	nikdy	ADV	29	advmod
29	nekupuje	VERB	8	advcl
30	polovinu	NOUN	29	obj
31	duše	NOUN	30	nmod
32	"	PUNCT	29	punct
33	.	PUNCT	3	punct