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:
Skot dovezený do Velké Británie z Čech, u něhož britští veterináři zjistili stopy po očkování proti slintavce a kulhavce, bude s největší pravděpodobností převezen zpět do ČR.
Postion	Tokenization
1	Skot
2	dovezený
3	do
4	Velké
5	Británie
6	z
7	Čech
8	,
9	u
10	něhož
11	britští
12	veterináři
13	zjistili
14	stopy
15	po
16	očkování
17	proti
18	slintavce
19	a
20	kulhavce
21	,
22	bude
23	s
24	největší
25	pravděpodobností
26	převezen
27	zpět
28	do
29	ČR
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Skot	NOUN	26	nsubj:pass
2	dovezený	ADJ	1	amod
3	do	ADP	5	case
4	Velké	ADJ	5	amod
5	Británie	PROPN	2	obl
6	z	ADP	7	case
7	Čech	PROPN	2	obl
8	,	PUNCT	13	punct
9	u	ADP	10	case
10	něhož	PRON	13	obl
11	britští	ADJ	12	amod
12	veterináři	NOUN	13	nsubj
13	zjistili	VERB	1	acl:relcl
14	stopy	NOUN	13	obj
15	po	ADP	16	case
16	očkování	NOUN	14	nmod
17	proti	ADP	18	case
18	slintavce	NOUN	16	nmod
19	a	CCONJ	20	cc
20	kulhavce	NOUN	18	conj
21	,	PUNCT	13	punct
22	bude	AUX	26	aux:pass
23	s	ADP	25	case
24	největší	ADJ	25	amod
25	pravděpodobností	NOUN	26	obl
26	převezen	ADJ	0	root
27	zpět	ADV	26	advmod
28	do	ADP	29	case
29	ČR	PROPN	26	obl
30	.	PUNCT	26	punct