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:
49 - Percentage of Americans in April 2004 who found that their taxes had actually gone up since Bush took office.
Postion	Tokenization
1	49
2	-
3	Percentage
4	of
5	Americans
6	in
7	April
8	2004
9	who
10	found
11	that
12	their
13	taxes
14	had
15	actually
16	gone
17	up
18	since
19	Bush
20	took
21	office
22	.
Position	Tokenization	UPOS	Head	Deprel
1	49	NUM	0	root
2	-	PUNCT	1	punct
3	Percentage	NOUN	1	appos
4	of	ADP	5	case
5	Americans	PROPN	3	nmod
6	in	ADP	7	case
7	April	PROPN	3	nmod
8	2004	NUM	7	nummod
9	who	PRON	10	nsubj
10	found	VERB	3	acl:relcl
11	that	SCONJ	16	mark
12	their	PRON	13	nmod:poss
13	taxes	NOUN	16	nsubj
14	had	AUX	16	aux
15	actually	ADV	16	advmod
16	gone	VERB	10	ccomp
17	up	ADV	16	advmod
18	since	SCONJ	20	mark
19	Bush	PROPN	20	nsubj
20	took	VERB	16	advcl
21	office	NOUN	20	obj
22	.	PUNCT	1	punct