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:
Two vaunted economists - one a Nobel Prize winner and the other a nationally renowned budget expert - have analyzed the data at hand and put a price tag on the Iraq occupation.
Postion	Tokenization
1	Two
2	vaunted
3	economists
4	-
5	one
6	a
7	Nobel
8	Prize
9	winner
10	and
11	the
12	other
13	a
14	nationally
15	renowned
16	budget
17	expert
18	-
19	have
20	analyzed
21	the
22	data
23	at
24	hand
25	and
26	put
27	a
28	price
29	tag
30	on
31	the
32	Iraq
33	occupation
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Two	NUM	3	nummod
2	vaunted	ADJ	3	amod
3	economists	NOUN	19	nsubj
4	-	PUNCT	3	punct
5	one	NUM	9	nsubj
6	a	DET	9	det
7	Nobel	PROPN	8	compound
8	Prize	PROPN	9	compound
9	winner	NOUN	3	appos
10	and	CCONJ	17	cc
11	the	DET	12	det
12	other	ADJ	17	nsubj
13	a	DET	17	det
14	nationally	ADV	15	advmod
15	renowned	ADJ	17	amod
16	budget	NOUN	17	compound
17	expert	NOUN	9	conj
18	-	PUNCT	3	punct
19	have	VERB	0	root
20	analyzed	VERB	19	obj
21	the	DET	22	det
22	data	NOUN	20	obj
23	at	ADP	24	case
24	hand	NOUN	22	nmod
25	and	CCONJ	26	cc
26	put	VERB	20	conj
27	a	DET	29	det
28	price	NOUN	29	compound
29	tag	NOUN	26	obj
30	on	ADP	33	case
31	the	DET	33	det
32	Iraq	PROPN	33	compound
33	occupation	NOUN	26	obl
34	.	PUNCT	19	punct