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 ERCOT goes the way of California - either due to market power or poor market design rules - it will be a bad day for deregulation and for Pat Wood.
Postion	Tokenization
1	If
2	ERCOT
3	goes
4	the
5	way
6	of
7	California
8	-
9	either
10	due
11	to
12	market
13	power
14	or
15	poor
16	market
17	design
18	rules
19	-
20	it
21	will
22	be
23	a
24	bad
25	day
26	for
27	deregulation
28	and
29	for
30	Pat
31	Wood
32	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	ERCOT	PROPN	3	nsubj
3	goes	VERB	25	advcl
4	the	DET	5	det
5	way	NOUN	3	obj
6	of	ADP	7	case
7	California	PROPN	5	nmod
8	-	PUNCT	3	punct
9	either	CCONJ	13	cc:preconj
10	due	ADP	13	case
11	to	ADP	10	fixed
12	market	NOUN	13	compound
13	power	NOUN	3	obl
14	or	CCONJ	18	cc
15	poor	ADJ	18	amod
16	market	NOUN	18	compound
17	design	NOUN	18	compound
18	rules	NOUN	13	conj
19	-	PUNCT	25	punct
20	it	PRON	25	nsubj
21	will	AUX	25	aux
22	be	AUX	25	cop
23	a	DET	25	det
24	bad	ADJ	25	amod
25	day	NOUN	0	root
26	for	ADP	27	case
27	deregulation	NOUN	25	nmod
28	and	CCONJ	30	cc
29	for	ADP	30	case
30	Pat	PROPN	27	conj
31	Wood	PROPN	30	flat
32	.	PUNCT	25	punct