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:
I have price targets of where I would like to lighten up exposure to ENE and will use calls to implement the stategy.
Postion	Tokenization
1	I
2	have
3	price
4	targets
5	of
6	where
7	I
8	would
9	like
10	to
11	lighten
12	up
13	exposure
14	to
15	ENE
16	and
17	will
18	use
19	calls
20	to
21	implement
22	the
23	stategy
24	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	AUX	0	root
3	price	NOUN	4	compound
4	targets	NOUN	2	obj
5	of	SCONJ	6	case
6	where	ADV	4	nmod
7	I	PRON	9	nsubj
8	would	AUX	9	aux
9	like	VERB	6	acl:relcl
10	to	PART	11	mark
11	lighten	VERB	9	xcomp
12	up	ADP	11	compound:prt
13	exposure	NOUN	11	obj
14	to	ADP	15	case
15	ENE	PROPN	13	nmod
16	and	CCONJ	18	cc
17	will	AUX	18	aux
18	use	VERB	2	conj
19	calls	NOUN	18	obj
20	to	PART	21	mark
21	implement	VERB	18	xcomp
22	the	DET	23	det
23	stategy	NOUN	21	obj
24	.	PUNCT	2	punct