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:
Největší položku českého dovozu do Británie tvoří tradičně osobní automobily Škoda, kterých se v Británii prodalo za šest měsíců přes šest tisíc za téměř 28 mil. liber.
Postion	Tokenization
1	Největší
2	položku
3	českého
4	dovozu
5	do
6	Británie
7	tvoří
8	tradičně
9	osobní
10	automobily
11	Škoda
12	,
13	kterých
14	se
15	v
16	Británii
17	prodalo
18	za
19	šest
20	měsíců
21	přes
22	šest
23	tisíc
24	za
25	téměř
26	28
27	mil
28	.
29	liber
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	položku	NOUN	7	obj
3	českého	ADJ	4	amod
4	dovozu	NOUN	2	nmod
5	do	ADP	6	case
6	Británie	PROPN	4	nmod
7	tvoří	VERB	0	root
8	tradičně	ADV	7	advmod
9	osobní	ADJ	10	amod
10	automobily	NOUN	7	nsubj
11	Škoda	PROPN	10	nmod
12	,	PUNCT	17	punct
13	kterých	DET	23	det
14	se	PRON	17	expl:pass
15	v	ADP	16	case
16	Británii	PROPN	17	obl
17	prodalo	VERB	10	acl
18	za	ADP	20	case
19	šest	NUM	20	nummod:gov
20	měsíců	NOUN	17	obl
21	přes	ADP	22	case
22	šest	NUM	17	nsubj:pass
23	tisíc	NUM	22	compound
24	za	ADP	26	case
25	téměř	ADV	26	advmod:emph
26	28	NUM	17	obl
27	mil	NOUN	26	nmod
28	.	PUNCT	27	punct
29	liber	NOUN	27	nmod
30	.	PUNCT	7	punct