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:
In some respects I don't think the first panel could have gone much better; everyone thanked FERC for intervening (though for different reasons).
Postion	Tokenization
1	In
2	some
3	respects
4	I
5	don't
6	do
7	n't
8	think
9	the
10	first
11	panel
12	could
13	have
14	gone
15	much
16	better
17	;
18	everyone
19	thanked
20	FERC
21	for
22	intervening
23	(
24	though
25	for
26	different
27	reasons
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	3	case
2	some	DET	3	det
3	respects	NOUN	7	obl
4	I	PRON	7	nsubj
5	don't	_	None	_
6	do	AUX	7	aux
7	n't	PART	7	advmod
8	think	VERB	0	root
9	the	DET	10	det
10	first	ADJ	10	amod
11	panel	NOUN	13	nsubj
12	could	AUX	13	aux
13	have	AUX	13	aux
14	gone	VERB	7	ccomp
15	much	ADV	15	advmod
16	better	ADV	13	advmod
17	;	PUNCT	7	punct
18	everyone	PRON	18	nsubj
19	thanked	VERB	7	parataxis
20	FERC	PROPN	18	obj
21	for	SCONJ	21	mark
22	intervening	VERB	18	advcl
23	(	PUNCT	26	punct
24	though	SCONJ	26	mark
25	for	ADP	26	case
26	different	ADJ	26	amod
27	reasons	NOUN	21	advcl
28	)	PUNCT	26	punct
29	.	PUNCT	7	punct