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:
It appears this guy is going to bring stability to the country and I think that's good news for the subcontinent."
Postion	Tokenization
1	It
2	appears
3	this
4	guy
5	is
6	going
7	to
8	bring
9	stability
10	to
11	the
12	country
13	and
14	I
15	think
16	that's
17	that
18	's
19	good
20	news
21	for
22	the
23	subcontinent
24	.
25	"
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	2	expl
2	appears	VERB	0	root
3	this	DET	4	det
4	guy	NOUN	6	nsubj
5	is	AUX	6	aux
6	going	VERB	2	csubj
7	to	PART	8	mark
8	bring	VERB	6	xcomp
9	stability	NOUN	8	obj
10	to	ADP	12	case
11	the	DET	12	det
12	country	NOUN	8	obl
13	and	CCONJ	15	cc
14	I	PRON	15	nsubj
15	think	VERB	2	conj
16	that's	_	None	_
17	that	PRON	19	nsubj
18	's	AUX	19	cop
19	good	ADJ	19	amod
20	news	NOUN	15	ccomp
21	for	ADP	22	case
22	the	DET	22	det
23	subcontinent	NOUN	19	nmod
24	.	PUNCT	2	punct
25	"	PUNCT	2	punct