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:
Odhadovaná ztráta produkce fytoplanktonu 7 x 10 12 uhlíku za rok následkem ozónové díry zatím tvoří maximálně několik tisícin celkové biologické produkce jižních moří.
Postion	Tokenization
1	Odhadovaná
2	ztráta
3	produkce
4	fytoplanktonu
5	7
6	x
7	10
8	12
9	uhlíku
10	za
11	rok
12	následkem
13	ozónové
14	díry
15	zatím
16	tvoří
17	maximálně
18	několik
19	tisícin
20	celkové
21	biologické
22	produkce
23	jižních
24	moří
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Odhadovaná	ADJ	2	amod
2	ztráta	NOUN	16	nsubj
3	produkce	NOUN	2	nmod
4	fytoplanktonu	NOUN	3	nmod
5	7	NUM	3	nummod
6	x	SYM	5	nmod
7	10	NUM	6	nummod
8	12	NUM	7	compound
9	uhlíku	NOUN	3	nmod
10	za	ADP	11	case
11	rok	NOUN	3	nmod
12	následkem	NOUN	14	case
13	ozónové	ADJ	14	amod
14	díry	NOUN	16	obl
15	zatím	ADV	16	advmod
16	tvoří	VERB	0	root
17	maximálně	ADV	18	advmod:emph
18	několik	DET	19	det:numgov
19	tisícin	NOUN	16	obj
20	celkové	ADJ	22	amod
21	biologické	ADJ	22	amod
22	produkce	NOUN	19	nmod
23	jižních	ADJ	24	amod
24	moří	NOUN	22	nmod
25	.	PUNCT	16	punct