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:
$80,000 - Amount an Iraqi firm spent (using Saddam's confiscated funds) to build the same factory, after delays prevented the American firm from starting it.
Postion	Tokenization
1	$
2	80,000
3	-
4	Amount
5	an
6	Iraqi
7	firm
8	spent
9	(
10	using
11	Saddam's
12	Saddam
13	's
14	confiscated
15	funds
16	)
17	to
18	build
19	the
20	same
21	factory
22	,
23	after
24	delays
25	prevented
26	the
27	American
28	firm
29	from
30	starting
31	it
32	.
Position	Tokenization	UPOS	Head	Deprel
1	$	SYM	0	root
2	80,000	NUM	1	nummod
3	-	PUNCT	1	punct
4	Amount	NOUN	1	appos
5	an	DET	7	det
6	Iraqi	ADJ	7	amod
7	firm	NOUN	8	nsubj
8	spent	VERB	4	acl:relcl
9	(	PUNCT	10	punct
10	using	VERB	8	advcl
11	Saddam's	_	None	_
12	Saddam	PROPN	14	nmod:poss
13	's	PART	11	case
14	confiscated	VERB	14	amod
15	funds	NOUN	10	obj
16	)	PUNCT	10	punct
17	to	PART	17	mark
18	build	VERB	8	advcl
19	the	DET	20	det
20	same	ADJ	20	amod
21	factory	NOUN	17	obj
22	,	PUNCT	8	punct
23	after	SCONJ	24	mark
24	delays	NOUN	24	nsubj
25	prevented	VERB	8	advcl
26	the	DET	27	det
27	American	ADJ	27	amod
28	firm	NOUN	24	obj
29	from	SCONJ	29	mark
30	starting	VERB	24	advcl
31	it	PRON	29	obj
32	.	PUNCT	1	punct