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:
We all know by now that Bush did not even do his full service with the Texas Air National Guard, absenting himself to work on the Alabama senate campaign of Winton "Red" Blount.
Postion	Tokenization
1	We
2	all
3	know
4	by
5	now
6	that
7	Bush
8	did
9	not
10	even
11	do
12	his
13	full
14	service
15	with
16	the
17	Texas
18	Air
19	National
20	Guard
21	,
22	absenting
23	himself
24	to
25	work
26	on
27	the
28	Alabama
29	senate
30	campaign
31	of
32	Winton
33	"
34	Red
35	"
36	Blount
37	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	all	DET	1	det
3	know	VERB	0	root
4	by	ADP	5	case
5	now	ADV	3	obl
6	that	SCONJ	11	mark
7	Bush	PROPN	11	nsubj
8	did	AUX	11	aux
9	not	PART	11	advmod
10	even	ADV	11	advmod
11	do	VERB	3	ccomp
12	his	PRON	14	nmod:poss
13	full	ADJ	14	amod
14	service	NOUN	11	obj
15	with	ADP	20	case
16	the	DET	20	det
17	Texas	PROPN	20	compound
18	Air	PROPN	20	compound
19	National	PROPN	20	compound
20	Guard	PROPN	14	nmod
21	,	PUNCT	11	punct
22	absenting	VERB	11	advcl
23	himself	PRON	22	obj
24	to	PART	25	mark
25	work	VERB	22	advcl
26	on	ADP	30	case
27	the	DET	30	det
28	Alabama	PROPN	30	compound
29	senate	NOUN	30	compound
30	campaign	NOUN	25	obl
31	of	ADP	32	case
32	Winton	PROPN	30	nmod
33	"	PUNCT	32	punct
34	Red	PROPN	32	flat
35	"	PUNCT	32	punct
36	Blount	PROPN	32	flat
37	.	PUNCT	3	punct