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:
(Even though he has bigger things to do in D.C., this is his legacy and he recognizes that if deregulation does not work in Texas, the repercussions could be global.)
Postion	Tokenization
1	(
2	Even
3	though
4	he
5	has
6	bigger
7	things
8	to
9	do
10	in
11	D.C.
12	,
13	this
14	is
15	his
16	legacy
17	and
18	he
19	recognizes
20	that
21	if
22	deregulation
23	does
24	not
25	work
26	in
27	Texas
28	,
29	the
30	repercussions
31	could
32	be
33	global
34	.
35	)
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	16	punct
2	Even	ADV	5	advmod
3	though	SCONJ	5	mark
4	he	PRON	5	nsubj
5	has	VERB	16	advcl
6	bigger	ADJ	7	amod
7	things	NOUN	5	obj
8	to	PART	9	mark
9	do	VERB	7	acl
10	in	ADP	11	case
11	D.C.	PROPN	9	obl
12	,	PUNCT	16	punct
13	this	PRON	16	nsubj
14	is	AUX	16	cop
15	his	PRON	16	nmod:poss
16	legacy	NOUN	0	root
17	and	CCONJ	19	cc
18	he	PRON	19	nsubj
19	recognizes	VERB	16	conj
20	that	SCONJ	33	mark
21	if	SCONJ	25	mark
22	deregulation	NOUN	25	nsubj
23	does	AUX	25	aux
24	not	PART	25	advmod
25	work	VERB	33	advcl
26	in	ADP	27	case
27	Texas	PROPN	25	obl
28	,	PUNCT	33	punct
29	the	DET	30	det
30	repercussions	NOUN	33	nsubj
31	could	AUX	33	aux
32	be	AUX	33	cop
33	global	ADJ	19	ccomp
34	.	PUNCT	16	punct
35	)	PUNCT	16	punct