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:
Předcházející katastrofické scénáře podceňovaly schopnost oceánů absorbovat teplo a zpomalovat poškozování způsobené nečistotami, které zachycují v atmosféře teplo, prohlašují britští vědci...
Postion	Tokenization
1	Předcházející
2	katastrofické
3	scénáře
4	podceňovaly
5	schopnost
6	oceánů
7	absorbovat
8	teplo
9	a
10	zpomalovat
11	poškozování
12	způsobené
13	nečistotami
14	,
15	které
16	zachycují
17	v
18	atmosféře
19	teplo
20	,
21	prohlašují
22	britští
23	vědci
24	.
25	.
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Předcházející	ADJ	3	amod
2	katastrofické	ADJ	3	amod
3	scénáře	NOUN	4	nsubj
4	podceňovaly	VERB	21	ccomp
5	schopnost	NOUN	4	obj
6	oceánů	NOUN	5	nmod
7	absorbovat	VERB	5	acl
8	teplo	NOUN	7	obj
9	a	CCONJ	10	cc
10	zpomalovat	VERB	7	conj
11	poškozování	NOUN	10	obj
12	způsobené	ADJ	11	amod
13	nečistotami	NOUN	12	obl:arg
14	,	PUNCT	16	punct
15	které	DET	16	nsubj
16	zachycují	VERB	13	acl:relcl
17	v	ADP	18	case
18	atmosféře	NOUN	16	obl
19	teplo	NOUN	16	obj
20	,	PUNCT	4	punct
21	prohlašují	VERB	0	root
22	britští	ADJ	23	amod
23	vědci	NOUN	21	nsubj
24	.	PUNCT	21	punct
25	.	PUNCT	21	punct
26	.	PUNCT	21	punct