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:
Neubauer zdůraznil, že se sudetští Němci nestavějí proti odškodnění českých obětí nacismu, ale zároveň požadují náhrady pro "německé oběti českého bezpráví".
Postion	Tokenization
1	Neubauer
2	zdůraznil
3	,
4	že
5	se
6	sudetští
7	Němci
8	nestavějí
9	proti
10	odškodnění
11	českých
12	obětí
13	nacismu
14	,
15	ale
16	zároveň
17	požadují
18	náhrady
19	pro
20	"
21	německé
22	oběti
23	českého
24	bezpráví
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Neubauer	PROPN	2	nsubj
2	zdůraznil	VERB	0	root
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	se	PRON	8	expl:pv
6	sudetští	ADJ	7	amod
7	Němci	PROPN	8	nsubj
8	nestavějí	VERB	2	ccomp
9	proti	ADP	10	case
10	odškodnění	NOUN	8	obl:arg
11	českých	ADJ	12	amod
12	obětí	NOUN	10	nmod
13	nacismu	NOUN	12	nmod
14	,	PUNCT	17	punct
15	ale	CCONJ	17	cc
16	zároveň	ADV	17	advmod
17	požadují	VERB	8	conj
18	náhrady	NOUN	17	obj
19	pro	ADP	22	case
20	"	PUNCT	22	punct
21	německé	ADJ	22	amod
22	oběti	NOUN	18	nmod
23	českého	ADJ	24	amod
24	bezpráví	NOUN	22	nmod
25	"	PUNCT	22	punct
26	.	PUNCT	2	punct