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:
Obtíže s dvojím státním občanstvím vznikly nejen v Německu, ale i v Rakousku a ve Švýcarsku proto, že zákony těchto zemí nepřipouštějí, aby jejich občané měli nebo přijali druhou státní příslušnost.
Postion	Tokenization
1	Obtíže
2	s
3	dvojím
4	státním
5	občanstvím
6	vznikly
7	nejen
8	v
9	Německu
10	,
11	ale
12	i
13	v
14	Rakousku
15	a
16	ve
17	Švýcarsku
18	proto
19	,
20	že
21	zákony
22	těchto
23	zemí
24	nepřipouštějí
25	,
26	aby
27	aby
28	by
29	jejich
30	občané
31	měli
32	nebo
33	přijali
34	druhou
35	státní
36	příslušnost
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Obtíže	NOUN	6	nsubj
2	s	ADP	5	case
3	dvojím	ADJ	5	amod
4	státním	ADJ	5	amod
5	občanstvím	NOUN	1	nmod
6	vznikly	VERB	0	root
7	nejen	PART	9	cc
8	v	ADP	9	case
9	Německu	PROPN	6	obl
10	,	PUNCT	14	punct
11	ale	CCONJ	14	cc
12	i	CCONJ	14	cc
13	v	ADP	14	case
14	Rakousku	PROPN	9	conj
15	a	CCONJ	17	cc
16	ve	ADP	17	case
17	Švýcarsku	PROPN	14	conj
18	proto	CCONJ	6	advmod
19	,	PUNCT	24	punct
20	že	SCONJ	24	mark
21	zákony	NOUN	24	nsubj
22	těchto	DET	23	det
23	zemí	NOUN	21	nmod
24	nepřipouštějí	VERB	6	acl
25	,	PUNCT	30	punct
26	aby	_	None	_
27	aby	SCONJ	30	mark
28	by	AUX	30	aux
29	jejich	DET	29	det
30	občané	NOUN	30	nsubj
31	měli	VERB	24	ccomp
32	nebo	CCONJ	32	cc
33	přijali	VERB	30	conj
34	druhou	ADJ	35	amod
35	státní	ADJ	35	amod
36	příslušnost	NOUN	32	obj
37	.	PUNCT	6	punct