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:
Investors are asking what Edison intends for QFs and generators--asking about haircuts in particular--and Edison is side-stepping the questions.
Postion	Tokenization
1	Investors
2	are
3	asking
4	what
5	Edison
6	intends
7	for
8	QFs
9	and
10	generators
11	--
12	asking
13	about
14	haircuts
15	in
16	particular
17	--
18	and
19	Edison
20	is
21	side
22	-
23	stepping
24	the
25	questions
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Investors	NOUN	3	nsubj
2	are	AUX	3	aux
3	asking	VERB	0	root
4	what	PRON	6	obj
5	Edison	PROPN	6	nsubj
6	intends	VERB	3	ccomp
7	for	ADP	8	case
8	QFs	NOUN	6	obl
9	and	CCONJ	10	cc
10	generators	NOUN	8	conj
11	--	PUNCT	3	punct
12	asking	VERB	3	parataxis
13	about	ADP	14	case
14	haircuts	NOUN	12	obl
15	in	ADP	16	case
16	particular	ADJ	12	obl
17	--	PUNCT	3	punct
18	and	CCONJ	23	cc
19	Edison	PROPN	23	nsubj
20	is	AUX	23	aux
21	side	NOUN	23	obl:npmod
22	-	PUNCT	23	punct
23	stepping	VERB	3	conj
24	the	DET	25	det
25	questions	NOUN	23	obj
26	.	PUNCT	3	punct