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:
"I find it troubling that a candidate for president in our country -- the world's oldest democracy -- would characterize the military takeover as "good news," Gore said.
Postion	Tokenization
1	"
2	I
3	find
4	it
5	troubling
6	that
7	a
8	candidate
9	for
10	president
11	in
12	our
13	country
14	--
15	the
16	world's
17	world
18	's
19	oldest
20	democracy
21	--
22	would
23	characterize
24	the
25	military
26	takeover
27	as
28	"
29	good
30	news
31	,
32	"
33	Gore
34	said
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	33	punct
2	I	PRON	3	nsubj
3	find	VERB	33	ccomp
4	it	PRON	3	expl
5	troubling	ADJ	3	xcomp
6	that	SCONJ	22	mark
7	a	DET	8	det
8	candidate	NOUN	22	nsubj
9	for	ADP	10	case
10	president	NOUN	8	nmod
11	in	ADP	13	case
12	our	PRON	13	nmod:poss
13	country	NOUN	8	nmod
14	--	PUNCT	13	punct
15	the	DET	16	det
16	world's	_	None	_
17	world	NOUN	19	nmod:poss
18	's	PART	16	case
19	oldest	ADJ	19	amod
20	democracy	NOUN	13	appos
21	--	PUNCT	22	punct
22	would	AUX	22	aux
23	characterize	VERB	3	ccomp
24	the	DET	25	det
25	military	ADJ	25	amod
26	takeover	NOUN	22	obj
27	as	ADP	29	case
28	"	PUNCT	29	punct
29	good	ADJ	29	amod
30	news	NOUN	22	obl
31	,	PUNCT	33	punct
32	"	PUNCT	33	punct
33	Gore	PROPN	33	nsubj
34	said	VERB	0	root
35	.	PUNCT	33	punct