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:
An intrusion into Japanese territorial waters by a Chinese nuclear submarine last week and a trade deal with Brazil are the latest apparently unconnected consequences of China's soaring economic growth.
Postion	Tokenization
1	An
2	intrusion
3	into
4	Japanese
5	territorial
6	waters
7	by
8	a
9	Chinese
10	nuclear
11	submarine
12	last
13	week
14	and
15	a
16	trade
17	deal
18	with
19	Brazil
20	are
21	the
22	latest
23	apparently
24	unconnected
25	consequences
26	of
27	China's
28	China
29	's
30	soaring
31	economic
32	growth
33	.
Position	Tokenization	UPOS	Head	Deprel
1	An	DET	2	det
2	intrusion	NOUN	25	nsubj
3	into	ADP	6	case
4	Japanese	ADJ	6	amod
5	territorial	ADJ	6	amod
6	waters	NOUN	2	nmod
7	by	ADP	11	case
8	a	DET	11	det
9	Chinese	ADJ	11	amod
10	nuclear	ADJ	11	amod
11	submarine	NOUN	2	nmod
12	last	ADJ	13	amod
13	week	NOUN	2	nmod:tmod
14	and	CCONJ	17	cc
15	a	DET	17	det
16	trade	NOUN	17	compound
17	deal	NOUN	2	conj
18	with	ADP	19	case
19	Brazil	PROPN	17	nmod
20	are	AUX	25	cop
21	the	DET	25	det
22	latest	ADJ	25	amod
23	apparently	ADV	24	advmod
24	unconnected	ADJ	25	amod
25	consequences	NOUN	0	root
26	of	ADP	31	case
27	China's	_	None	_
28	China	PROPN	31	nmod:poss
29	's	PART	27	case
30	soaring	VERB	31	amod
31	economic	ADJ	31	amod
32	growth	NOUN	25	nmod
33	.	PUNCT	25	punct