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:
Závěry britských meteorologů jsou založeny na počítačovém modelu, který simuloval vývoj světového klimatu v příštích desetiletích na základě údajů o změnách vegetace a cirkulace oceánů.
Postion	Tokenization
1	Závěry
2	britských
3	meteorologů
4	jsou
5	založeny
6	na
7	počítačovém
8	modelu
9	,
10	který
11	simuloval
12	vývoj
13	světového
14	klimatu
15	v
16	příštích
17	desetiletích
18	na
19	základě
20	údajů
21	o
22	změnách
23	vegetace
24	a
25	cirkulace
26	oceánů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Závěry	NOUN	5	nsubj
2	britských	ADJ	3	amod
3	meteorologů	NOUN	1	nmod
4	jsou	AUX	5	cop
5	založeny	ADJ	0	root
6	na	ADP	8	case
7	počítačovém	ADJ	8	amod
8	modelu	NOUN	5	obl:arg
9	,	PUNCT	11	punct
10	který	DET	11	nsubj
11	simuloval	VERB	8	acl:relcl
12	vývoj	NOUN	11	obj
13	světového	ADJ	14	amod
14	klimatu	NOUN	12	nmod
15	v	ADP	17	case
16	příštích	ADJ	17	amod
17	desetiletích	NOUN	12	nmod
18	na	ADP	20	case
19	základě	NOUN	18	fixed
20	údajů	NOUN	11	obl
21	o	ADP	22	case
22	změnách	NOUN	20	nmod
23	vegetace	NOUN	22	nmod
24	a	CCONJ	25	cc
25	cirkulace	NOUN	23	conj
26	oceánů	NOUN	25	nmod
27	.	PUNCT	5	punct