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 debate that a handful of Texas multi-millionnaires close to the Bush family have cleverly manufactured over John Kerry's war record is absurd in every way.
Postion	Tokenization
1	The
2	debate
3	that
4	a
5	handful
6	of
7	Texas
8	multi-millionnaires
9	close
10	to
11	the
12	Bush
13	family
14	have
15	cleverly
16	manufactured
17	over
18	John
19	Kerry's
20	Kerry
21	's
22	war
23	record
24	is
25	absurd
26	in
27	every
28	way
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	debate	NOUN	24	nsubj
3	that	PRON	16	obj
4	a	DET	5	det
5	handful	NOUN	16	nsubj
6	of	ADP	8	case
7	Texas	PROPN	8	compound
8	multi-millionnaires	NOUN	5	nmod
9	close	ADJ	8	amod
10	to	ADP	12	case
11	the	DET	12	det
12	Bush	PROPN	9	obl
13	family	NOUN	12	flat
14	have	AUX	16	aux
15	cleverly	ADV	16	advmod
16	manufactured	VERB	2	acl:relcl
17	over	ADP	22	case
18	John	PROPN	22	nmod:poss
19	Kerry's	_	None	_
20	Kerry	PROPN	18	flat
21	's	PART	18	case
22	war	NOUN	22	compound
23	record	NOUN	2	nmod
24	is	AUX	24	cop
25	absurd	ADJ	0	root
26	in	ADP	27	case
27	every	DET	27	det
28	way	NOUN	24	obl
29	.	PUNCT	24	punct