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: Pravděpodobně ani ne proto, že by německé kontrolní orgány byly o tolik lepší než jejich protějšky v jiných zemích, ale spíše proto, že se Německo stalo jakýmsi překladištěm pro obchod s tímto smrtonosným zbožím.
Position	Tokenization	UPOS	Head	Deprel
1	Pravděpodobně	ADV	4	cc
2	ani	CCONJ	3	advmod:emph
3	ne	PART	4	advmod:emph
4	proto	ADV	0	root
5	_	_	None	_
6	,	PUNCT	14	punct
7	že	SCONJ	14	mark
8	by	AUX	14	aux
9	německé	ADJ	10	amod
10	kontrolní	ADJ	10	amod
11	orgány	NOUN	14	nsubj
12	byly	AUX	14	cop
13	o	ADP	13	case
14	tolik	DET	14	obl
15	lepší	ADJ	4	conj
16	než	SCONJ	17	mark
17	jejich	DET	17	det
18	protějšky	NOUN	14	advcl
19	v	ADP	20	case
20	jiných	ADJ	20	amod
21	zemích	NOUN	17	nmod
22	,	PUNCT	14	punct
23	ale	CCONJ	14	cc
24	spíše	ADV	14	orphan
25	proto	ADV	14	orphan
26	,	PUNCT	29	punct
27	že	SCONJ	29	mark
28	se	PRON	29	expl:pv
29	Německo	PROPN	29	nsubj
30	stalo	VERB	14	orphan
31	jakýmsi	DET	31	det
32	překladištěm	NOUN	29	obl:arg
33	pro	ADP	33	case
34	obchod	NOUN	31	nmod
35	s	ADP	37	case
36	tímto	DET	37	det
37	smrtonosným	ADJ	37	amod
38	zbožím	NOUN	33	nmod
39	.	PUNCT	4	punct