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:
Automobily v oblasti jižního Pacifiku budou v blízké budoucnosti jezdit na kokosový olej a místo obvyklého dýmu za sebou budou zanechávat charakteristickou jemnou vůni kokosu.
Postion	Tokenization
1	Automobily
2	v
3	oblasti
4	jižního
5	Pacifiku
6	budou
7	v
8	blízké
9	budoucnosti
10	jezdit
11	na
12	kokosový
13	olej
14	a
15	místo
16	obvyklého
17	dýmu
18	za
19	sebou
20	budou
21	zanechávat
22	charakteristickou
23	jemnou
24	vůni
25	kokosu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Automobily	NOUN	10	nsubj
2	v	ADP	5	case
3	oblasti	NOUN	2	fixed
4	jižního	ADJ	5	amod
5	Pacifiku	PROPN	1	nmod
6	budou	AUX	10	aux
7	v	ADP	9	case
8	blízké	ADJ	9	amod
9	budoucnosti	NOUN	10	obl
10	jezdit	VERB	0	root
11	na	ADP	13	case
12	kokosový	ADJ	13	amod
13	olej	NOUN	10	obl
14	a	CCONJ	21	cc
15	místo	ADP	17	case
16	obvyklého	ADJ	17	amod
17	dýmu	NOUN	21	obl
18	za	ADP	19	case
19	sebou	PRON	21	obl
20	budou	AUX	21	aux
21	zanechávat	VERB	10	conj
22	charakteristickou	ADJ	24	amod
23	jemnou	ADJ	24	amod
24	vůni	NOUN	21	obj
25	kokosu	NOUN	24	nmod
26	.	PUNCT	10	punct