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 US chose to ally itself with such groups as the Supreme Council for the Islamic Revolution in Iraq, whose 15,000-strong Badr Corps paramilitary was trained by the Iranian Revolutionary Guards.
Postion	Tokenization
1	The
2	US
3	chose
4	to
5	ally
6	itself
7	with
8	such
9	groups
10	as
11	the
12	Supreme
13	Council
14	for
15	the
16	Islamic
17	Revolution
18	in
19	Iraq
20	,
21	whose
22	15,000
23	-
24	strong
25	Badr
26	Corps
27	paramilitary
28	was
29	trained
30	by
31	the
32	Iranian
33	Revolutionary
34	Guards
35	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	US	PROPN	3	nsubj
3	chose	VERB	0	root
4	to	PART	5	mark
5	ally	VERB	3	xcomp
6	itself	PRON	5	obj
7	with	ADP	9	case
8	such	ADJ	9	amod
9	groups	NOUN	5	obl
10	as	ADP	13	case
11	the	DET	13	det
12	Supreme	PROPN	13	compound
13	Council	PROPN	9	nmod
14	for	ADP	17	case
15	the	DET	17	det
16	Islamic	PROPN	17	compound
17	Revolution	PROPN	13	nmod
18	in	ADP	19	case
19	Iraq	PROPN	17	nmod
20	,	PUNCT	13	punct
21	whose	PRON	27	nmod:poss
22	15,000	NUM	24	compound
23	-	PUNCT	24	punct
24	strong	ADJ	27	amod
25	Badr	PROPN	26	compound
26	Corps	PROPN	27	compound
27	paramilitary	NOUN	29	nsubj:pass
28	was	AUX	29	aux:pass
29	trained	VERB	13	acl:relcl
30	by	ADP	34	case
31	the	DET	34	det
32	Iranian	PROPN	34	compound
33	Revolutionary	PROPN	34	compound
34	Guards	PROPN	29	obl
35	.	PUNCT	3	punct