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:
Under the leadership of Governor Bush and others we have made real progress in Education in Texas over the past decade.?
Postion	Tokenization
1	Under
2	the
3	leadership
4	of
5	Governor
6	Bush
7	and
8	others
9	we
10	have
11	made
12	real
13	progress
14	in
15	Education
16	in
17	Texas
18	over
19	the
20	past
21	decade
22	.?
Position	Tokenization	UPOS	Head	Deprel
1	Under	ADP	3	case
2	the	DET	3	det
3	leadership	NOUN	11	obl
4	of	ADP	6	case
5	Governor	PROPN	6	compound
6	Bush	PROPN	3	nmod
7	and	CCONJ	8	cc
8	others	NOUN	6	conj
9	we	PRON	11	nsubj
10	have	AUX	11	aux
11	made	VERB	0	root
12	real	ADJ	13	amod
13	progress	NOUN	11	obj
14	in	ADP	15	case
15	Education	NOUN	13	nmod
16	in	ADP	17	case
17	Texas	PROPN	11	obl
18	over	ADP	21	case
19	the	DET	21	det
20	past	ADJ	21	amod
21	decade	NOUN	11	obl
22	.?	PUNCT	11	punct