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:
In April — before the Swift boat veterans had said a word — Kerry said Bush “has yet to explain to America whether or not, and tell the truth, about whether he showed up for duty.”
Postion	Tokenization
1	In
2	April
3	—
4	before
5	the
6	Swift
7	boat
8	veterans
9	had
10	said
11	a
12	word
13	—
14	Kerry
15	said
16	Bush
17	“
18	has
19	yet
20	to
21	explain
22	to
23	America
24	whether
25	or
26	not
27	,
28	and
29	tell
30	the
31	truth
32	,
33	about
34	whether
35	he
36	showed
37	up
38	for
39	duty
40	.
41	”
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	April	PROPN	15	obl
3	—	PUNCT	15	punct
4	before	SCONJ	10	mark
5	the	DET	8	det
6	Swift	PROPN	7	compound
7	boat	PROPN	8	compound
8	veterans	PROPN	10	nsubj
9	had	AUX	10	aux
10	said	VERB	15	advcl
11	a	DET	12	det
12	word	NOUN	10	obj
13	—	PUNCT	15	punct
14	Kerry	PROPN	15	nsubj
15	said	VERB	0	root
16	Bush	PROPN	18	nsubj
17	“	PUNCT	18	punct
18	has	VERB	15	ccomp
19	yet	ADV	18	advmod
20	to	PART	21	mark
21	explain	VERB	18	xcomp
22	to	ADP	23	case
23	America	PROPN	21	obl
24	whether	SCONJ	21	ccomp
25	or	CCONJ	24	fixed
26	not	ADV	24	fixed
27	,	PUNCT	29	punct
28	and	CCONJ	29	cc
29	tell	VERB	21	conj
30	the	DET	31	det
31	truth	NOUN	29	obj
32	,	PUNCT	31	punct
33	about	SCONJ	36	mark
34	whether	SCONJ	36	mark
35	he	PRON	36	nsubj
36	showed	VERB	31	acl
37	up	ADP	36	compound:prt
38	for	ADP	39	case
39	duty	NOUN	36	obl
40	.	PUNCT	15	punct
41	”	PUNCT	15	punct