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:
According to Linda Bilmes of Harvard and Nobel Laureate Joseph E. Stiglitz of Columbia University, the final cost of the Iraq occupation will run between $1 trillion and $2 trillion, surpassing by orders of magnitude the estimates put forth by the Bush administration.
Postion	Tokenization
1	According
2	to
3	Linda
4	Bilmes
5	of
6	Harvard
7	and
8	Nobel
9	Laureate
10	Joseph
11	E.
12	Stiglitz
13	of
14	Columbia
15	University
16	,
17	the
18	final
19	cost
20	of
21	the
22	Iraq
23	occupation
24	will
25	run
26	between
27	$
28	1
29	trillion
30	and
31	$
32	2
33	trillion
34	,
35	surpassing
36	by
37	orders
38	of
39	magnitude
40	the
41	estimates
42	put
43	forth
44	by
45	the
46	Bush
47	administration
48	.
Position	Tokenization	UPOS	Head	Deprel
1	According	VERB	3	case
2	to	ADP	3	case
3	Linda	PROPN	25	obl
4	Bilmes	PROPN	3	flat
5	of	ADP	6	case
6	Harvard	PROPN	3	nmod
7	and	CCONJ	10	cc
8	Nobel	PROPN	9	compound
9	Laureate	PROPN	10	compound
10	Joseph	PROPN	3	conj
11	E.	PROPN	10	flat
12	Stiglitz	PROPN	10	flat
13	of	ADP	15	case
14	Columbia	PROPN	15	compound
15	University	PROPN	10	nmod
16	,	PUNCT	25	punct
17	the	DET	19	det
18	final	ADJ	19	amod
19	cost	NOUN	25	nsubj
20	of	ADP	23	case
21	the	DET	23	det
22	Iraq	PROPN	23	compound
23	occupation	NOUN	19	nmod
24	will	AUX	25	aux
25	run	VERB	0	root
26	between	ADP	27	case
27	$	SYM	25	obl
28	1	NUM	29	compound
29	trillion	NUM	27	nummod
30	and	CCONJ	31	cc
31	$	SYM	27	conj
32	2	NUM	33	compound
33	trillion	NUM	31	nummod
34	,	PUNCT	25	punct
35	surpassing	VERB	25	advcl
36	by	ADP	37	case
37	orders	NOUN	35	obl
38	of	ADP	39	case
39	magnitude	NOUN	37	nmod
40	the	DET	41	det
41	estimates	NOUN	35	obj
42	put	VERB	41	acl
43	forth	ADV	42	advmod
44	by	ADP	46	case
45	the	DET	46	det
46	Bush	PROPN	42	obl
47	administration	NOUN	46	flat
48	.	PUNCT	25	punct