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:
K boku australské nákladní lodi Black Star, plující na trase ze Singapuru do novozélandského New Plymouthu, přiráží znenadání rychlý motorový člun.
Postion	Tokenization
1	K
2	boku
3	australské
4	nákladní
5	lodi
6	Black
7	Star
8	,
9	plující
10	na
11	trase
12	ze
13	Singapuru
14	do
15	novozélandského
16	New
17	Plymouthu
18	,
19	přiráží
20	znenadání
21	rychlý
22	motorový
23	člun
24	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	boku	NOUN	19	obl
3	australské	ADJ	5	amod
4	nákladní	ADJ	5	amod
5	lodi	NOUN	2	nmod
6	Black	PROPN	7	nmod
7	Star	PROPN	5	nmod
8	,	PUNCT	9	punct
9	plující	ADJ	5	amod
10	na	ADP	11	case
11	trase	NOUN	9	obl
12	ze	ADP	13	case
13	Singapuru	PROPN	11	nmod
14	do	ADP	17	case
15	novozélandského	ADJ	17	amod
16	New	ADJ	17	amod
17	Plymouthu	PROPN	11	nmod
18	,	PUNCT	9	punct
19	přiráží	VERB	0	root
20	znenadání	ADV	19	advmod
21	rychlý	ADJ	23	amod
22	motorový	ADJ	23	amod
23	člun	NOUN	19	nsubj
24	.	PUNCT	19	punct