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:
87 - Percentage of American families in April 2004 who say they have felt no benefit from Bush's tax cuts.
Postion	Tokenization
1	87
2	-
3	Percentage
4	of
5	American
6	families
7	in
8	April
9	2004
10	who
11	say
12	they
13	have
14	felt
15	no
16	benefit
17	from
18	Bush's
19	Bush
20	's
21	tax
22	cuts
23	.
Position	Tokenization	UPOS	Head	Deprel
1	87	NUM	0	root
2	-	PUNCT	1	punct
3	Percentage	NOUN	1	appos
4	of	ADP	6	case
5	American	ADJ	6	amod
6	families	NOUN	3	nmod
7	in	ADP	8	case
8	April	PROPN	3	nmod
9	2004	NUM	8	nummod
10	who	PRON	11	nsubj
11	say	VERB	3	acl:relcl
12	they	PRON	14	nsubj
13	have	AUX	14	aux
14	felt	VERB	11	ccomp
15	no	DET	16	det
16	benefit	NOUN	14	obj
17	from	ADP	21	case
18	Bush's	_	None	_
19	Bush	PROPN	21	nmod:poss
20	's	PART	18	case
21	tax	NOUN	21	compound
22	cuts	NOUN	16	nmod
23	.	PUNCT	1	punct