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 text: Německo bylo dobyto, poraženo a půl století poté je nejvyšší čas Němce oslovit, přestat je vnímat jako kolektivní personifikaci nepřítele na druhé straně válečného příkopu a nepopularizovat národnostní předsudky, jak to s velkou vervou dělá Václav Bělohradský.
Position	Tokenization	UPOS	Head	Deprel
1	Německo	PROPN	3	nsubj
2	bylo	AUX	3	aux
3	dobyto	ADJ	0	root
4	,	PUNCT	5	punct
5	poraženo	ADJ	3	conj
6	a	CCONJ	10	cc
7	půl	NOUN	9	obl
8	století	NOUN	7	nmod
9	poté	ADV	10	advmod
10	je	VERB	3	conj
11	nejvyšší	ADJ	12	amod
12	čas	NOUN	10	nsubj
13	Němce	PROPN	14	obj
14	oslovit	VERB	12	acl
15	,	PUNCT	16	punct
16	přestat	VERB	14	conj
17	je	PRON	18	obj
18	vnímat	VERB	16	xcomp
19	jako	SCONJ	21	mark
20	kolektivní	ADJ	21	amod
21	personifikaci	NOUN	17	xcomp
22	nepřítele	NOUN	21	nmod
23	na	ADP	25	case
24	druhé	ADJ	25	amod
25	straně	NOUN	22	nmod
26	válečného	ADJ	27	amod
27	příkopu	NOUN	25	nmod
28	a	CCONJ	29	cc
29	nepopularizovat	VERB	14	conj
30	národnostní	ADJ	31	amod
31	předsudky	NOUN	29	obj
32	,	PUNCT	38	punct
33	jak	ADV	38	advmod
34	to	DET	38	obj
35	s	ADP	37	case
36	velkou	ADJ	37	amod
37	vervou	NOUN	38	obl
38	dělá	VERB	29	advcl
39	Václav	PROPN	38	nsubj
40	Bělohradský	PROPN	39	flat
41	.	PUNCT	3	punct