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:
ESAI contributes oil and gas input price forecasts, capacity judgments, and "herding" ideas to develop power price forecasts for same time periods.
Postion	Tokenization
1	ESAI
2	contributes
3	oil
4	and
5	gas
6	input
7	price
8	forecasts
9	,
10	capacity
11	judgments
12	,
13	and
14	"
15	herding
16	"
17	ideas
18	to
19	develop
20	power
21	price
22	forecasts
23	for
24	same
25	time
26	periods
27	.
Position	Tokenization	UPOS	Head	Deprel
1	ESAI	PROPN	2	nsubj
2	contributes	VERB	0	root
3	oil	NOUN	8	compound
4	and	CCONJ	5	cc
5	gas	NOUN	3	conj
6	input	NOUN	7	compound
7	price	NOUN	8	compound
8	forecasts	NOUN	2	obj
9	,	PUNCT	11	punct
10	capacity	NOUN	11	compound
11	judgments	NOUN	8	conj
12	,	PUNCT	17	punct
13	and	CCONJ	17	cc
14	"	PUNCT	17	punct
15	herding	NOUN	17	compound
16	"	PUNCT	17	punct
17	ideas	NOUN	8	conj
18	to	PART	19	mark
19	develop	VERB	2	advcl
20	power	NOUN	21	compound
21	price	NOUN	22	compound
22	forecasts	NOUN	19	obj
23	for	ADP	26	case
24	same	ADJ	26	amod
25	time	NOUN	26	compound
26	periods	NOUN	22	nmod
27	.	PUNCT	2	punct