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:
If you can present opportunities such as access to private equity or hedge funds, or other ideas with strong growth potential and low correlation to the S@P, I'd listen.
Postion	Tokenization
1	If
2	you
3	can
4	present
5	opportunities
6	such
7	as
8	access
9	to
10	private
11	equity
12	or
13	hedge
14	funds
15	,
16	or
17	other
18	ideas
19	with
20	strong
21	growth
22	potential
23	and
24	low
25	correlation
26	to
27	the
28	S@P
29	,
30	I'd
31	I
32	'd
33	listen
34	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	you	PRON	4	nsubj
3	can	AUX	4	aux
4	present	VERB	32	advcl
5	opportunities	NOUN	4	obj
6	such	ADJ	8	case
7	as	ADP	6	fixed
8	access	NOUN	5	nmod
9	to	ADP	11	case
10	private	ADJ	11	amod
11	equity	NOUN	8	nmod
12	or	CCONJ	14	cc
13	hedge	NOUN	14	compound
14	funds	NOUN	11	conj
15	,	PUNCT	18	punct
16	or	CCONJ	18	cc
17	other	ADJ	18	amod
18	ideas	NOUN	8	conj
19	with	ADP	22	case
20	strong	ADJ	22	amod
21	growth	NOUN	22	compound
22	potential	NOUN	18	nmod
23	and	CCONJ	25	cc
24	low	ADJ	25	amod
25	correlation	NOUN	22	conj
26	to	ADP	28	case
27	the	DET	28	det
28	S@P	NOUN	25	nmod
29	,	PUNCT	32	punct
30	I'd	_	None	_
31	I	PRON	32	nsubj
32	'd	AUX	32	aux
33	listen	VERB	0	root
34	.	PUNCT	32	punct