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:
The enhanced US presence in western Afghanistan was only made possible after the ousting of Ismail Khan, the warlord and Governor of Herat province last month, who was a close ally of Iranian hardliners.
Postion	Tokenization
1	The
2	enhanced
3	US
4	presence
5	in
6	western
7	Afghanistan
8	was
9	only
10	made
11	possible
12	after
13	the
14	ousting
15	of
16	Ismail
17	Khan
18	,
19	the
20	warlord
21	and
22	Governor
23	of
24	Herat
25	province
26	last
27	month
28	,
29	who
30	was
31	a
32	close
33	ally
34	of
35	Iranian
36	hardliners
37	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	enhanced	VERB	4	amod
3	US	PROPN	4	compound
4	presence	NOUN	10	nsubj:pass
5	in	ADP	7	case
6	western	ADJ	7	amod
7	Afghanistan	PROPN	4	nmod
8	was	AUX	10	aux:pass
9	only	ADV	10	advmod
10	made	VERB	0	root
11	possible	ADJ	10	xcomp
12	after	ADP	14	case
13	the	DET	14	det
14	ousting	NOUN	10	obl
15	of	ADP	16	case
16	Ismail	PROPN	14	nmod
17	Khan	PROPN	16	flat
18	,	PUNCT	16	punct
19	the	DET	20	det
20	warlord	NOUN	16	appos
21	and	CCONJ	22	cc
22	Governor	PROPN	20	conj
23	of	ADP	25	case
24	Herat	PROPN	25	compound
25	province	NOUN	20	nmod
26	last	ADJ	27	amod
27	month	NOUN	14	nmod:tmod
28	,	PUNCT	14	punct
29	who	PRON	33	nsubj
30	was	AUX	33	cop
31	a	DET	33	det
32	close	ADJ	33	amod
33	ally	NOUN	14	acl:relcl
34	of	ADP	36	case
35	Iranian	ADJ	36	amod
36	hardliners	NOUN	33	nmod
37	.	PUNCT	10	punct