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:
If the US attacks Iran, it is probable that American forces - already taxed by attacks from Sunni factions - will also face reprisal attacks in Iraq from Shi'ite factions loyal to Iran.
Postion	Tokenization
1	If
2	the
3	US
4	attacks
5	Iran
6	,
7	it
8	is
9	probable
10	that
11	American
12	forces
13	-
14	already
15	taxed
16	by
17	attacks
18	from
19	Sunni
20	factions
21	-
22	will
23	also
24	face
25	reprisal
26	attacks
27	in
28	Iraq
29	from
30	Shi'ite
31	factions
32	loyal
33	to
34	Iran
35	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	the	DET	3	det
3	US	PROPN	4	nsubj
4	attacks	VERB	9	advcl
5	Iran	PROPN	4	obj
6	,	PUNCT	9	punct
7	it	PRON	9	nsubj
8	is	AUX	9	cop
9	probable	ADJ	0	root
10	that	SCONJ	24	mark
11	American	ADJ	12	amod
12	forces	NOUN	24	nsubj
13	-	PUNCT	15	punct
14	already	ADV	15	advmod
15	taxed	VERB	12	acl
16	by	ADP	17	case
17	attacks	NOUN	15	obl
18	from	ADP	20	case
19	Sunni	ADJ	20	amod
20	factions	NOUN	17	nmod
21	-	PUNCT	15	punct
22	will	AUX	24	aux
23	also	ADV	24	advmod
24	face	VERB	9	ccomp
25	reprisal	NOUN	26	compound
26	attacks	NOUN	24	obj
27	in	ADP	28	case
28	Iraq	PROPN	24	obl
29	from	ADP	31	case
30	Shi'ite	ADJ	31	amod
31	factions	NOUN	24	obl
32	loyal	ADJ	31	amod
33	to	ADP	34	case
34	Iran	PROPN	32	obl
35	.	PUNCT	9	punct