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:
With the US military presence posing a threat on their borders in both Iraq and Afghanistan, Iran’s moderate leadership is keen to help stabilise Karzai so that the US presence in Afghanistan is reduced.
Postion	Tokenization
1	With
2	the
3	US
4	military
5	presence
6	posing
7	a
8	threat
9	on
10	their
11	borders
12	in
13	both
14	Iraq
15	and
16	Afghanistan
17	,
18	Iran’s
19	Iran
20	’s
21	moderate
22	leadership
23	is
24	keen
25	to
26	help
27	stabilise
28	Karzai
29	so
30	that
31	the
32	US
33	presence
34	in
35	Afghanistan
36	is
37	reduced
38	.
Position	Tokenization	UPOS	Head	Deprel
1	With	SCONJ	6	mark
2	the	DET	5	det
3	US	PROPN	5	compound
4	military	ADJ	5	amod
5	presence	NOUN	6	nsubj
6	posing	VERB	23	advcl
7	a	DET	8	det
8	threat	NOUN	6	obj
9	on	ADP	11	case
10	their	PRON	11	nmod:poss
11	borders	NOUN	6	obl
12	in	ADP	14	case
13	both	CCONJ	14	cc:preconj
14	Iraq	PROPN	6	obl
15	and	CCONJ	16	cc
16	Afghanistan	PROPN	14	conj
17	,	PUNCT	23	punct
18	Iran’s	_	None	_
19	Iran	PROPN	21	nmod:poss
20	’s	PART	18	case
21	moderate	ADJ	21	amod
22	leadership	NOUN	23	nsubj
23	is	AUX	23	cop
24	keen	ADJ	0	root
25	to	PART	25	mark
26	help	VERB	23	advcl
27	stabilise	VERB	25	xcomp
28	Karzai	PROPN	26	obj
29	so	SCONJ	36	mark
30	that	SCONJ	28	fixed
31	the	DET	32	det
32	US	PROPN	32	compound
33	presence	NOUN	36	nsubj:pass
34	in	ADP	34	case
35	Afghanistan	PROPN	32	nmod
36	is	AUX	36	aux:pass
37	reduced	VERB	26	advcl
38	.	PUNCT	23	punct