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 President is very eager to go ahead quickly and get this vote, because he very much wants to have Samuel Alito on the Supreme Court, to be judging the cases Bush is interested in.
Postion	Tokenization
1	The
2	President
3	is
4	very
5	eager
6	to
7	go
8	ahead
9	quickly
10	and
11	get
12	this
13	vote
14	,
15	because
16	he
17	very
18	much
19	wants
20	to
21	have
22	Samuel
23	Alito
24	on
25	the
26	Supreme
27	Court
28	,
29	to
30	be
31	judging
32	the
33	cases
34	Bush
35	is
36	interested
37	in
38	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	President	PROPN	5	nsubj
3	is	AUX	5	cop
4	very	ADV	5	advmod
5	eager	ADJ	0	root
6	to	PART	7	mark
7	go	VERB	5	xcomp
8	ahead	ADV	7	advmod
9	quickly	ADV	7	advmod
10	and	CCONJ	11	cc
11	get	VERB	7	conj
12	this	DET	13	det
13	vote	NOUN	11	obj
14	,	PUNCT	5	punct
15	because	SCONJ	19	mark
16	he	PRON	19	nsubj
17	very	ADV	18	advmod
18	much	ADV	19	advmod
19	wants	VERB	5	advcl
20	to	PART	21	mark
21	have	VERB	19	xcomp
22	Samuel	PROPN	21	obj
23	Alito	PROPN	22	flat
24	on	ADP	27	case
25	the	DET	27	det
26	Supreme	PROPN	27	compound
27	Court	PROPN	21	obl
28	,	PUNCT	31	punct
29	to	PART	31	mark
30	be	AUX	31	aux
31	judging	VERB	21	advcl
32	the	DET	33	det
33	cases	NOUN	31	obj
34	Bush	PROPN	36	nsubj
35	is	AUX	36	cop
36	interested	ADJ	33	acl:relcl
37	in	ADP	36	obl
38	.	PUNCT	5	punct