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:
Japonský premiér T. Murajama přiletěl včera z Manily do Hanoje, která je jeho druhou zastávkou na osmidenní cestě po čtyřech asijských zemích.
Postion	Tokenization
1	Japonský
2	premiér
3	T
4	.
5	Murajama
6	přiletěl
7	včera
8	z
9	Manily
10	do
11	Hanoje
12	,
13	která
14	je
15	jeho
16	druhou
17	zastávkou
18	na
19	osmidenní
20	cestě
21	po
22	čtyřech
23	asijských
24	zemích
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Japonský	ADJ	2	amod
2	premiér	NOUN	6	nsubj
3	T	PROPN	2	flat
4	.	PUNCT	3	punct
5	Murajama	PROPN	2	flat
6	přiletěl	VERB	0	root
7	včera	ADV	6	advmod
8	z	ADP	9	case
9	Manily	NOUN	6	obl
10	do	ADP	11	case
11	Hanoje	PROPN	6	obl
12	,	PUNCT	17	punct
13	která	DET	17	nsubj
14	je	AUX	17	cop
15	jeho	DET	17	det
16	druhou	ADJ	17	amod
17	zastávkou	NOUN	11	acl:relcl
18	na	ADP	20	case
19	osmidenní	ADJ	20	amod
20	cestě	NOUN	17	nmod
21	po	ADP	24	case
22	čtyřech	NUM	24	nummod
23	asijských	ADJ	24	amod
24	zemích	NOUN	20	nmod
25	.	PUNCT	6	punct