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:
It's a little hard to parse, but at this point his ostensible view is that the Gateses are very good money-redistributors, and he wants them to have the money as soon as possible.
Postion	Tokenization
1	It's
2	It
3	's
4	a
5	little
6	hard
7	to
8	parse
9	,
10	but
11	at
12	this
13	point
14	his
15	ostensible
16	view
17	is
18	that
19	the
20	Gateses
21	are
22	very
23	good
24	money
25	-
26	redistributors
27	,
28	and
29	he
30	wants
31	them
32	to
33	have
34	the
35	money
36	as
37	soon
38	as
39	possible
40	.
Position	Tokenization	UPOS	Head	Deprel
1	It's	_	None	_
2	It	PRON	5	nsubj
3	's	AUX	5	cop
4	a	DET	4	det
5	little	ADJ	5	obl:npmod
6	hard	ADJ	0	root
7	to	PART	7	mark
8	parse	VERB	5	ccomp
9	,	PUNCT	16	punct
10	but	CCONJ	16	cc
11	at	ADP	12	case
12	this	DET	12	det
13	point	NOUN	16	obl
14	his	PRON	15	nmod:poss
15	ostensible	ADJ	15	amod
16	view	NOUN	16	nsubj
17	is	VERB	5	conj
18	that	SCONJ	25	mark
19	the	DET	19	det
20	Gateses	PROPN	25	nsubj
21	are	AUX	25	cop
22	very	ADV	22	advmod
23	good	ADJ	25	amod
24	money	NOUN	25	compound
25	-	PUNCT	25	punct
26	redistributors	NOUN	16	ccomp
27	,	PUNCT	29	punct
28	and	CCONJ	29	cc
29	he	PRON	29	nsubj
30	wants	VERB	16	conj
31	them	PRON	29	obj
32	to	PART	32	mark
33	have	VERB	29	xcomp
34	the	DET	34	det
35	money	NOUN	32	obj
36	as	ADV	36	advmod
37	soon	ADV	32	advmod
38	as	SCONJ	38	mark
39	possible	ADJ	35	advcl
40	.	PUNCT	5	punct