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:
He will make sure that we do not request FX and inflation (CPI,PPI, etc.) curves when only one of the curves will actually be used in the valuation process and to determine which inflation index is needed.
Postion	Tokenization
1	He
2	will
3	make
4	sure
5	that
6	we
7	do
8	not
9	request
10	FX
11	and
12	inflation
13	(
14	CPI
15	,
16	PPI
17	,
18	etc.
19	)
20	curves
21	when
22	only
23	one
24	of
25	the
26	curves
27	will
28	actually
29	be
30	used
31	in
32	the
33	valuation
34	process
35	and
36	to
37	determine
38	which
39	inflation
40	index
41	is
42	needed
43	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj
2	will	AUX	3	aux
3	make	VERB	0	root
4	sure	ADJ	3	xcomp
5	that	SCONJ	9	mark
6	we	PRON	9	nsubj
7	do	AUX	9	aux
8	not	PART	9	advmod
9	request	VERB	3	ccomp
10	FX	NOUN	20	compound
11	and	CCONJ	12	cc
12	inflation	NOUN	10	conj
13	(	PUNCT	16	punct
14	CPI	NOUN	12	appos
15	,	PUNCT	16	punct
16	PPI	NOUN	14	conj
17	,	PUNCT	16	punct
18	etc.	X	14	conj
19	)	PUNCT	16	punct
20	curves	NOUN	9	obj
21	when	SCONJ	30	mark
22	only	ADV	23	advmod
23	one	NUM	30	nsubj:pass
24	of	ADP	26	case
25	the	DET	26	det
26	curves	NOUN	23	nmod
27	will	AUX	30	aux
28	actually	ADV	30	advmod
29	be	AUX	30	aux:pass
30	used	VERB	9	advcl
31	in	ADP	34	case
32	the	DET	34	det
33	valuation	NOUN	34	compound
34	process	NOUN	30	obl
35	and	CCONJ	37	cc
36	to	PART	37	mark
37	determine	VERB	34	conj
38	which	DET	40	det
39	inflation	NOUN	40	compound
40	index	NOUN	42	nsubj:pass
41	is	AUX	42	aux:pass
42	needed	VERB	37	ccomp
43	.	PUNCT	3	punct