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:
V Německu se po nehorázném zdůvodnění mírného rozsudku nad pravicovým radikálem Deckertem, který se dopustil lži o Osvětimi, zvedla vlna protestů od řadových občanů až po nejvyšší státní posty.
Postion	Tokenization
1	V
2	Německu
3	se
4	po
5	nehorázném
6	zdůvodnění
7	mírného
8	rozsudku
9	nad
10	pravicovým
11	radikálem
12	Deckertem
13	,
14	který
15	se
16	dopustil
17	lži
18	o
19	Osvětimi
20	,
21	zvedla
22	vlna
23	protestů
24	od
25	řadových
26	občanů
27	až
28	po
29	nejvyšší
30	státní
31	posty
32	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Německu	PROPN	21	obl
3	se	PRON	21	expl:pv
4	po	ADP	6	case
5	nehorázném	ADJ	6	amod
6	zdůvodnění	NOUN	21	obl
7	mírného	ADJ	8	amod
8	rozsudku	NOUN	6	nmod
9	nad	ADP	11	case
10	pravicovým	ADJ	11	amod
11	radikálem	NOUN	8	nmod
12	Deckertem	PROPN	11	flat
13	,	PUNCT	16	punct
14	který	DET	16	nsubj
15	se	PRON	16	expl:pv
16	dopustil	VERB	11	acl:relcl
17	lži	NOUN	16	obl:arg
18	o	ADP	19	case
19	Osvětimi	PROPN	17	nmod
20	,	PUNCT	16	punct
21	zvedla	VERB	0	root
22	vlna	NOUN	21	nsubj
23	protestů	NOUN	22	nmod
24	od	ADP	26	case
25	řadových	ADJ	26	amod
26	občanů	NOUN	23	nmod
27	až	PART	31	advmod:emph
28	po	ADP	31	case
29	nejvyšší	ADJ	31	amod
30	státní	ADJ	31	amod
31	posty	NOUN	23	nmod
32	.	PUNCT	21	punct