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 Abramoff scandal threatens to subsume all the hard-fought GOP gains in Congress, and the 2006 midterms are less than a year away.
Postion	Tokenization
1	The
2	Abramoff
3	scandal
4	threatens
5	to
6	subsume
7	all
8	the
9	hard
10	-
11	fought
12	GOP
13	gains
14	in
15	Congress
16	,
17	and
18	the
19	2006
20	midterms
21	are
22	less
23	than
24	a
25	year
26	away
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	Abramoff	PROPN	4	nsubj
3	scandal	NOUN	2	flat
4	threatens	VERB	0	root
5	to	PART	6	mark
6	subsume	VERB	4	xcomp
7	all	DET	13	det:predet
8	the	DET	13	det
9	hard	ADV	11	compound
10	-	PUNCT	11	punct
11	fought	VERB	13	amod
12	GOP	PROPN	13	compound
13	gains	NOUN	6	obj
14	in	ADP	15	case
15	Congress	PROPN	13	nmod
16	,	PUNCT	26	punct
17	and	CCONJ	26	cc
18	the	DET	20	det
19	2006	NUM	20	nummod
20	midterms	NOUN	26	nsubj
21	are	AUX	26	cop
22	less	ADJ	26	obl:npmod
23	than	ADP	22	fixed
24	a	DET	25	det
25	year	NOUN	26	obl
26	away	ADV	4	conj
27	.	PUNCT	4	punct