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:
Indeed, given how Bush has rampaged around the world alienating allies and ignoring vital conflicts with the potential to blow back on the US, one might well argue that Edwards knows more now than Bush does.
Postion	Tokenization
1	Indeed
2	,
3	given
4	how
5	Bush
6	has
7	rampaged
8	around
9	the
10	world
11	alienating
12	allies
13	and
14	ignoring
15	vital
16	conflicts
17	with
18	the
19	potential
20	to
21	blow
22	back
23	on
24	the
25	US
26	,
27	one
28	might
29	well
30	argue
31	that
32	Edwards
33	knows
34	more
35	now
36	than
37	Bush
38	does
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Indeed	ADV	30	advmod
2	,	PUNCT	30	punct
3	given	VERB	7	mark
4	how	SCONJ	7	mark
5	Bush	PROPN	7	nsubj
6	has	AUX	7	aux
7	rampaged	VERB	30	advcl
8	around	ADP	10	case
9	the	DET	10	det
10	world	NOUN	7	obl
11	alienating	VERB	7	ccomp
12	allies	NOUN	11	obj
13	and	CCONJ	14	cc
14	ignoring	VERB	11	conj
15	vital	ADJ	16	amod
16	conflicts	NOUN	14	obj
17	with	ADP	19	case
18	the	DET	19	det
19	potential	NOUN	14	obl
20	to	PART	21	mark
21	blow	VERB	19	acl
22	back	ADV	21	advmod
23	on	ADP	25	case
24	the	DET	25	det
25	US	PROPN	21	obl
26	,	PUNCT	30	punct
27	one	PRON	30	nsubj
28	might	AUX	30	aux
29	well	ADV	30	advmod
30	argue	VERB	0	root
31	that	SCONJ	33	mark
32	Edwards	PROPN	33	nsubj
33	knows	VERB	30	ccomp
34	more	ADJ	33	obj
35	now	ADV	33	advmod
36	than	SCONJ	38	mark
37	Bush	PROPN	38	nsubj
38	does	VERB	34	advcl
39	.	PUNCT	30	punct