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:
And, he didn't think he needed to know anything about South Asia, with its nuclear giants and radical religious politics--the latter a dire security threat to the US.
Postion	Tokenization
1	And
2	,
3	he
4	didn't
5	did
6	n't
7	think
8	he
9	needed
10	to
11	know
12	anything
13	about
14	South
15	Asia
16	,
17	with
18	its
19	nuclear
20	giants
21	and
22	radical
23	religious
24	politics
25	--
26	the
27	latter
28	a
29	dire
30	security
31	threat
32	to
33	the
34	US
35	.
Position	Tokenization	UPOS	Head	Deprel
1	And	CCONJ	6	cc
2	,	PUNCT	6	punct
3	he	PRON	6	nsubj
4	didn't	_	None	_
5	did	AUX	6	aux
6	n't	PART	6	advmod
7	think	VERB	0	root
8	he	PRON	8	nsubj
9	needed	VERB	6	ccomp
10	to	PART	10	mark
11	know	VERB	8	xcomp
12	anything	PRON	10	obj
13	about	ADP	14	case
14	South	PROPN	14	compound
15	Asia	PROPN	11	nmod
16	,	PUNCT	14	punct
17	with	ADP	19	case
18	its	PRON	19	nmod:poss
19	nuclear	ADJ	19	amod
20	giants	NOUN	14	nmod
21	and	CCONJ	23	cc
22	radical	ADJ	23	amod
23	religious	ADJ	23	amod
24	politics	NOUN	19	conj
25	--	PUNCT	19	punct
26	the	DET	26	det
27	latter	ADJ	30	nsubj
28	a	DET	30	det
29	dire	ADJ	30	amod
30	security	NOUN	30	compound
31	threat	NOUN	10	advcl
32	to	ADP	33	case
33	the	DET	33	det
34	US	PROPN	30	nmod
35	.	PUNCT	6	punct