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:
The Texas Education Reform Caucus is made up of business leaders, educators, and elected officials dedicated to finding common sense approaches to improving education in Texas.
Postion	Tokenization
1	The
2	Texas
3	Education
4	Reform
5	Caucus
6	is
7	made
8	up
9	of
10	business
11	leaders
12	,
13	educators
14	,
15	and
16	elected
17	officials
18	dedicated
19	to
20	finding
21	common
22	sense
23	approaches
24	to
25	improving
26	education
27	in
28	Texas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	5	det
2	Texas	PROPN	5	compound
3	Education	PROPN	4	compound
4	Reform	PROPN	5	compound
5	Caucus	PROPN	7	nsubj:pass
6	is	AUX	7	aux:pass
7	made	VERB	0	root
8	up	ADP	7	compound:prt
9	of	ADP	11	case
10	business	NOUN	11	compound
11	leaders	NOUN	7	obl
12	,	PUNCT	13	punct
13	educators	NOUN	11	conj
14	,	PUNCT	17	punct
15	and	CCONJ	17	cc
16	elected	VERB	17	amod
17	officials	NOUN	11	conj
18	dedicated	ADJ	11	amod
19	to	SCONJ	20	mark
20	finding	VERB	18	advcl
21	common	ADJ	22	amod
22	sense	NOUN	23	compound
23	approaches	NOUN	20	obj
24	to	SCONJ	25	mark
25	improving	VERB	23	acl
26	education	NOUN	25	obj
27	in	ADP	28	case
28	Texas	PROPN	26	nmod
29	.	PUNCT	7	punct