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 a report prepared by a committee of Arab intellectuals and published under the auspices of the U.N., the number of books translated by the entire Arab world is much smaller than what little Greece alone translates.
Postion	Tokenization
1	According
2	to
3	a
4	report
5	prepared
6	by
7	a
8	committee
9	of
10	Arab
11	intellectuals
12	and
13	published
14	under
15	the
16	auspices
17	of
18	the
19	U.N.
20	,
21	the
22	number
23	of
24	books
25	translated
26	by
27	the
28	entire
29	Arab
30	world
31	is
32	much
33	smaller
34	than
35	what
36	little
37	Greece
38	alone
39	translates
40	.
Position	Tokenization	UPOS	Head	Deprel
1	According	VERB	4	case
2	to	ADP	4	case
3	a	DET	4	det
4	report	NOUN	33	obl
5	prepared	VERB	4	acl
6	by	ADP	8	case
7	a	DET	8	det
8	committee	NOUN	5	obl
9	of	ADP	11	case
10	Arab	ADJ	11	amod
11	intellectuals	NOUN	8	nmod
12	and	CCONJ	13	cc
13	published	VERB	5	conj
14	under	ADP	16	case
15	the	DET	16	det
16	auspices	NOUN	13	obl
17	of	ADP	19	case
18	the	DET	19	det
19	U.N.	PROPN	16	nmod
20	,	PUNCT	33	punct
21	the	DET	22	det
22	number	NOUN	33	nsubj
23	of	ADP	24	case
24	books	NOUN	22	nmod
25	translated	VERB	24	acl
26	by	ADP	30	case
27	the	DET	30	det
28	entire	ADJ	30	amod
29	Arab	ADJ	30	amod
30	world	NOUN	25	obl
31	is	AUX	33	cop
32	much	ADV	33	advmod
33	smaller	ADJ	0	root
34	than	SCONJ	35	case
35	what	PRON	33	obl
36	little	ADJ	37	amod
37	Greece	PROPN	39	nsubj
38	alone	ADV	37	advmod
39	translates	VERB	35	acl:relcl
40	.	PUNCT	33	punct