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:
Světová produkce uhlí se loni snížila o 1.8 % na 3.43 mld. tun, přičemž v zemích Evropské unie dosáhl pokles hodnoty 13.2 % a v zemích střední a východní Evropy 8.9 %.
Postion	Tokenization
1	Světová
2	produkce
3	uhlí
4	se
5	loni
6	snížila
7	o
8	1.8
9	%
10	na
11	3.43
12	mld
13	.
14	tun
15	,
16	přičemž
17	v
18	zemích
19	Evropské
20	unie
21	dosáhl
22	pokles
23	hodnoty
24	13.2
25	%
26	_
27	a
28	v
29	zemích
30	střední
31	a
32	východní
33	Evropy
34	8.9
35	%
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Světová	ADJ	2	amod
2	produkce	NOUN	6	nsubj
3	uhlí	NOUN	2	nmod
4	se	PRON	6	expl:pv
5	loni	ADV	6	advmod
6	snížila	VERB	0	root
7	o	ADP	8	case
8	1.8	NUM	6	obl
9	%	SYM	8	nmod
10	na	ADP	11	case
11	3.43	NUM	6	obl:arg
12	mld	NOUN	11	nmod
13	.	PUNCT	12	punct
14	tun	NOUN	12	nmod
15	,	PUNCT	21	punct
16	přičemž	ADV	21	advmod
17	v	ADP	18	case
18	zemích	NOUN	21	obl
19	Evropské	ADJ	20	amod
20	unie	NOUN	18	nmod
21	dosáhl	VERB	6	conj
22	pokles	NOUN	21	nsubj
23	hodnoty	NOUN	22	nmod
24	13.2	NUM	21	obj
25	%	SYM	24	nmod
26	_	_	None	_
27	a	CCONJ	28	cc
28	v	ADP	28	case
29	zemích	NOUN	21	conj
30	střední	ADJ	32	amod
31	a	CCONJ	31	cc
32	východní	ADJ	29	conj
33	Evropy	PROPN	28	nmod
34	8.9	NUM	28	orphan
35	%	SYM	33	nmod
36	.	PUNCT	6	punct