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: Staly se však už případy, že Čech-emigrant si při vjezdu nebo výjezdu s autem s německou poznávací značkou na hranicích spletl pasy, a německá pohraniční policie mu sebrala oba, německý i český.
Position	Tokenization	UPOS	Head	Deprel
1	Staly	VERB	0	root
2	se	PRON	1	expl:pv
3	však	CCONJ	1	cc
4	už	ADV	1	advmod:emph
5	případy	NOUN	1	nsubj
6	,	PUNCT	24	punct
7	že	SCONJ	24	mark
8	Čech	PROPN	24	nsubj
9	-	PUNCT	10	punct
10	emigrant	NOUN	8	nmod
11	si	PRON	24	expl:pv
12	při	ADP	13	case
13	vjezdu	NOUN	24	obl
14	nebo	CCONJ	15	cc
15	výjezdu	NOUN	13	conj
16	s	ADP	17	case
17	autem	NOUN	13	nmod
18	s	ADP	21	case
19	německou	ADJ	21	amod
20	poznávací	ADJ	21	amod
21	značkou	NOUN	17	nmod
22	na	ADP	23	case
23	hranicích	NOUN	24	obl
24	spletl	VERB	5	acl
25	pasy	NOUN	24	obj
26	,	PUNCT	32	punct
27	a	CCONJ	32	cc
28	německá	ADJ	30	amod
29	pohraniční	ADJ	30	amod
30	policie	NOUN	32	nsubj
31	mu	PRON	32	obl:arg
32	sebrala	VERB	24	conj
33	oba	NUM	32	obj
34	,	PUNCT	35	punct
35	německý	ADJ	33	amod
36	i	CCONJ	37	cc
37	český	ADJ	35	conj
38	.	PUNCT	1	punct