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:
Walking out last night, Kevin Presto indicated that there were games being played in ERCOT with the new market rules and prices in certain markets were not reflective of working markets.
Postion	Tokenization
1	Walking
2	out
3	last
4	night
5	,
6	Kevin
7	Presto
8	indicated
9	that
10	there
11	were
12	games
13	being
14	played
15	in
16	ERCOT
17	with
18	the
19	new
20	market
21	rules
22	and
23	prices
24	in
25	certain
26	markets
27	were
28	not
29	reflective
30	of
31	working
32	markets
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Walking	VERB	8	advcl
2	out	ADP	1	compound:prt
3	last	ADJ	4	amod
4	night	NOUN	1	obl:tmod
5	,	PUNCT	8	punct
6	Kevin	PROPN	8	nsubj
7	Presto	PROPN	6	flat
8	indicated	VERB	0	root
9	that	SCONJ	11	mark
10	there	PRON	11	expl
11	were	VERB	8	ccomp
12	games	NOUN	11	nsubj
13	being	AUX	14	aux:pass
14	played	VERB	12	acl
15	in	ADP	16	case
16	ERCOT	PROPN	14	obl
17	with	ADP	21	case
18	the	DET	21	det
19	new	ADJ	21	amod
20	market	NOUN	21	compound
21	rules	NOUN	14	obl
22	and	CCONJ	29	cc
23	prices	NOUN	29	nsubj
24	in	ADP	26	case
25	certain	ADJ	26	amod
26	markets	NOUN	23	nmod
27	were	AUX	29	cop
28	not	PART	29	advmod
29	reflective	ADJ	11	conj
30	of	ADP	32	case
31	working	VERB	32	amod
32	markets	NOUN	29	obl
33	.	PUNCT	8	punct