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:
Now that Afghanistan, Iraq and Libya are out, two and a half terrorist states remain: Iran, Syria and Lebanon, the latter being a Syrian colony.
Postion	Tokenization
1	Now
2	that
3	Afghanistan
4	,
5	Iraq
6	and
7	Libya
8	are
9	out
10	,
11	two
12	and
13	a
14	half
15	terrorist
16	states
17	remain
18	:
19	Iran
20	,
21	Syria
22	and
23	Lebanon
24	,
25	the
26	latter
27	being
28	a
29	Syrian
30	colony
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Now	ADV	17	advmod
2	that	SCONJ	9	mark
3	Afghanistan	PROPN	9	nsubj
4	,	PUNCT	5	punct
5	Iraq	PROPN	3	conj
6	and	CCONJ	7	cc
7	Libya	PROPN	3	conj
8	are	AUX	9	cop
9	out	ADV	1	ccomp
10	,	PUNCT	17	punct
11	two	NUM	14	compound
12	and	CCONJ	13	cc
13	a	DET	14	det
14	half	NOUN	16	nummod
15	terrorist	ADJ	16	amod
16	states	NOUN	17	nsubj
17	remain	VERB	0	root
18	:	PUNCT	19	punct
19	Iran	PROPN	16	appos
20	,	PUNCT	21	punct
21	Syria	PROPN	19	conj
22	and	CCONJ	23	cc
23	Lebanon	PROPN	19	conj
24	,	PUNCT	23	punct
25	the	DET	26	det
26	latter	ADJ	23	appos
27	being	AUX	30	cop
28	a	DET	30	det
29	Syrian	ADJ	30	amod
30	colony	NOUN	26	advcl
31	.	PUNCT	19	punct