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: Je však pravděpodobné, že závislost je přesně opačná - zvýšení teploty oceánu uvolní obrovská množství CO 2 , který dál urychlí nástup teplého období, během kterého dojde k rozvoji lesních ploch a dalšímu uvolňování CO 2 .
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	3	cop
2	však	CCONJ	3	cc
3	pravděpodobné	ADJ	0	root
4	,	PUNCT	9	punct
5	že	SCONJ	9	mark
6	závislost	NOUN	9	nsubj
7	je	AUX	9	cop
8	přesně	ADV	9	advmod
9	opačná	ADJ	3	csubj
10	-	PUNCT	14	punct
11	zvýšení	NOUN	14	nsubj
12	teploty	NOUN	11	nmod
13	oceánu	NOUN	12	nmod
14	uvolní	VERB	9	appos
15	obrovská	ADJ	16	amod
16	množství	NOUN	14	obj
17	CO	NOUN	16	nmod
18	2	NUM	17	nummod
19	,	PUNCT	22	punct
20	který	DET	22	nsubj
21	dál	ADV	22	advmod
22	urychlí	VERB	17	acl:relcl
23	nástup	NOUN	22	obj
24	teplého	ADJ	25	amod
25	období	NOUN	23	nmod
26	,	PUNCT	29	punct
27	během	ADP	28	case
28	kterého	DET	29	obl
29	dojde	VERB	25	acl:relcl
30	k	ADP	31	case
31	rozvoji	NOUN	29	obl:arg
32	lesních	ADJ	33	amod
33	ploch	NOUN	31	nmod
34	a	CCONJ	36	cc
35	dalšímu	ADJ	36	amod
36	uvolňování	NOUN	31	conj
37	CO	NOUN	36	nmod
38	2	NUM	37	nummod
39	.	PUNCT	3	punct