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: Největší podíl na tomto zvýšení má Británie, kde těžba ropy vzrostla o 27 procent a činila 126 miliónů tun, a Norsko, kde se loni vytěžilo 131 miliónů tun ropy, což je o 14 procent více než v roce 1993.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	podíl	NOUN	6	obj
3	na	ADP	5	case
4	tomto	DET	5	det
5	zvýšení	NOUN	2	nmod
6	má	VERB	0	root
7	Británie	PROPN	6	nsubj
8	,	PUNCT	12	punct
9	kde	ADV	12	advmod
10	těžba	NOUN	12	nsubj
11	ropy	NOUN	10	nmod
12	vzrostla	VERB	7	acl:relcl
13	o	ADP	15	case
14	27	NUM	15	nummod:gov
15	procent	NOUN	12	obl
16	a	CCONJ	17	cc
17	činila	VERB	12	conj
18	126	NUM	19	nummod:gov
19	miliónů	NOUN	17	obj
20	tun	NOUN	19	nmod
21	,	PUNCT	23	punct
22	a	CCONJ	23	cc
23	Norsko	PROPN	7	conj
24	,	PUNCT	28	punct
25	kde	ADV	28	advmod
26	se	PRON	28	expl:pass
27	loni	ADV	28	advmod
28	vytěžilo	VERB	23	acl:relcl
29	131	NUM	30	nummod:gov
30	miliónů	NOUN	28	nsubj:pass
31	tun	NOUN	30	nmod
32	ropy	NOUN	31	nmod
33	,	PUNCT	39	punct
34	což	PRON	39	nsubj
35	je	AUX	39	cop
36	o	ADP	38	case
37	14	NUM	38	nummod:gov
38	procent	NOUN	39	obl
39	více	ADV	28	conj
40	než	SCONJ	42	mark
41	v	ADP	42	case
42	roce	NOUN	39	dep
43	1993	NUM	42	nummod
44	.	PUNCT	6	punct