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:
China is furious that Japan has outbid it in their battle to determine the route of the pipeline that Russia intends to build to the Far East.
Postion	Tokenization
1	China
2	is
3	furious
4	that
5	Japan
6	has
7	outbid
8	it
9	in
10	their
11	battle
12	to
13	determine
14	the
15	route
16	of
17	the
18	pipeline
19	that
20	Russia
21	intends
22	to
23	build
24	to
25	the
26	Far
27	East
28	.
Position	Tokenization	UPOS	Head	Deprel
1	China	PROPN	3	nsubj
2	is	AUX	3	cop
3	furious	ADJ	0	root
4	that	SCONJ	7	mark
5	Japan	PROPN	7	nsubj
6	has	AUX	7	aux
7	outbid	VERB	3	ccomp
8	it	PRON	7	obj
9	in	ADP	11	case
10	their	PRON	11	nmod:poss
11	battle	NOUN	7	obl
12	to	PART	13	mark
13	determine	VERB	11	acl
14	the	DET	15	det
15	route	NOUN	13	obj
16	of	ADP	18	case
17	the	DET	18	det
18	pipeline	NOUN	15	nmod
19	that	PRON	23	obj
20	Russia	PROPN	21	nsubj
21	intends	VERB	18	acl:relcl
22	to	PART	23	mark
23	build	VERB	21	xcomp
24	to	ADP	27	case
25	the	DET	27	det
26	Far	PROPN	27	compound
27	East	PROPN	18	nmod
28	.	PUNCT	3	punct