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: Dvojí občanství je však věc choulostivá, a ne bez rizika: německé úřady vlastně neví, kdo z bývalých čs. státních občanů je opět občanem ČR, kdo tady "sedí na dvou židlích", protože naši lidé tento svůj přestupek proti německým zákonům samozřejmě veřejně nepřiznávají.
Position	Tokenization	UPOS	Head	Deprel
1	Dvojí	ADJ	2	amod
2	občanství	NOUN	5	nsubj
3	je	AUX	5	cop
4	však	CCONJ	5	cc
5	věc	NOUN	0	root
6	choulostivá	ADJ	5	amod
7	,	PUNCT	11	punct
8	a	CCONJ	11	cc
9	ne	PART	11	advmod:emph
10	bez	ADP	11	case
11	rizika	NOUN	6	conj
12	:	PUNCT	16	punct
13	německé	ADJ	14	amod
14	úřady	NOUN	16	nsubj
15	vlastně	ADV	16	advmod
16	neví	VERB	5	advcl
17	,	PUNCT	27	punct
18	kdo	PRON	27	nsubj
19	z	ADP	24	case
20	bývalých	ADJ	24	amod
21	čs	ADJ	24	amod
22	.	PUNCT	21	punct
23	státních	ADJ	24	amod
24	občanů	NOUN	18	nmod
25	je	AUX	27	cop
26	opět	ADV	27	advmod
27	občanem	NOUN	16	ccomp
28	ČR	PROPN	27	nmod
29	,	PUNCT	33	punct
30	kdo	PRON	33	nsubj
31	tady	ADV	33	advmod
32	"	PUNCT	33	punct
33	sedí	VERB	27	conj
34	na	ADP	36	case
35	dvou	NUM	36	nummod
36	židlích	NOUN	33	obl
37	"	PUNCT	33	punct
38	,	PUNCT	50	punct
39	protože	SCONJ	50	mark
40	naši	DET	41	det
41	lidé	NOUN	50	nsubj
42	tento	DET	44	det
43	svůj	DET	44	det
44	přestupek	NOUN	50	obj
45	proti	ADP	47	case
46	německým	ADJ	47	amod
47	zákonům	NOUN	44	nmod
48	samozřejmě	ADV	50	advmod
49	veřejně	ADV	50	advmod
50	nepřiznávají	VERB	16	advcl
51	.	PUNCT	5	punct