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:
Nebere v úvahu, že v posledních svobodných volbách roku 1932 získala Hitlerova NSDAP 38.8 procent hlasů, nevnímá různé strategie, které německé politické strany volily v konfrontaci s Hitlerem;
Postion	Tokenization
1	Nebere
2	v
3	úvahu
4	,
5	že
6	v
7	posledních
8	svobodných
9	volbách
10	roku
11	1932
12	získala
13	Hitlerova
14	NSDAP
15	38.8
16	procent
17	hlasů
18	,
19	nevnímá
20	různé
21	strategie
22	,
23	které
24	německé
25	politické
26	strany
27	volily
28	v
29	konfrontaci
30	s
31	Hitlerem
32	;
Position	Tokenization	UPOS	Head	Deprel
1	Nebere	VERB	0	root
2	v	ADP	3	case
3	úvahu	NOUN	1	obl:arg
4	,	PUNCT	12	punct
5	že	SCONJ	12	mark
6	v	ADP	9	case
7	posledních	ADJ	9	amod
8	svobodných	ADJ	9	amod
9	volbách	NOUN	12	obl
10	roku	NOUN	9	nmod
11	1932	NUM	10	nummod
12	získala	VERB	1	ccomp
13	Hitlerova	ADJ	14	amod
14	NSDAP	PROPN	12	nsubj
15	38.8	NUM	16	nummod:gov
16	procent	NOUN	12	obj
17	hlasů	NOUN	16	nmod
18	,	PUNCT	19	punct
19	nevnímá	VERB	1	conj
20	různé	ADJ	21	amod
21	strategie	NOUN	19	obj
22	,	PUNCT	27	punct
23	které	DET	26	amod
24	německé	ADJ	26	amod
25	politické	ADJ	26	amod
26	strany	NOUN	27	nsubj
27	volily	VERB	21	acl
28	v	ADP	29	case
29	konfrontaci	NOUN	27	obl
30	s	ADP	31	case
31	Hitlerem	PROPN	29	nmod
32	;	PUNCT	1	punct