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:
Unlike Iraq, Iran has not spent the last fifteen years having its conventional forces worn down by grueling sanctions, repeated attacks, and two American-led wars.
Postion	Tokenization
1	Unlike
2	Iraq
3	,
4	Iran
5	has
6	not
7	spent
8	the
9	last
10	fifteen
11	years
12	having
13	its
14	conventional
15	forces
16	worn
17	down
18	by
19	grueling
20	sanctions
21	,
22	repeated
23	attacks
24	,
25	and
26	two
27	American
28	-
29	led
30	wars
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Unlike	ADP	2	case
2	Iraq	PROPN	7	obl
3	,	PUNCT	7	punct
4	Iran	PROPN	7	nsubj
5	has	AUX	7	aux
6	not	PART	7	advmod
7	spent	VERB	0	root
8	the	DET	11	det
9	last	ADJ	11	amod
10	fifteen	NUM	11	nummod
11	years	NOUN	7	obj
12	having	VERB	7	advcl
13	its	PRON	15	nmod:poss
14	conventional	ADJ	15	amod
15	forces	NOUN	16	nsubj
16	worn	VERB	12	ccomp
17	down	ADP	16	compound:prt
18	by	ADP	20	case
19	grueling	ADJ	20	amod
20	sanctions	NOUN	16	obl
21	,	PUNCT	23	punct
22	repeated	VERB	23	amod
23	attacks	NOUN	20	conj
24	,	PUNCT	30	punct
25	and	CCONJ	30	cc
26	two	NUM	30	nummod
27	American	ADJ	29	obl:npmod
28	-	PUNCT	29	punct
29	led	VERB	30	amod
30	wars	NOUN	20	conj
31	.	PUNCT	7	punct