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:
One little boy stands up and offersthat, "if my best friend who lives next door was playing in the street when a car came along and killed him, that would be a tragedy".
Postion	Tokenization
1	One
2	little
3	boy
4	stands
5	up
6	and
7	offers
8	that
9	,
10	"
11	if
12	my
13	best
14	friend
15	who
16	lives
17	next
18	door
19	was
20	playing
21	in
22	the
23	street
24	when
25	a
26	car
27	came
28	along
29	and
30	killed
31	him
32	,
33	that
34	would
35	be
36	a
37	tragedy
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	3	nummod
2	little	ADJ	3	amod
3	boy	NOUN	4	nsubj
4	stands	VERB	0	root
5	up	ADV	4	advmod
6	and	CCONJ	7	cc
7	offers	VERB	4	conj
8	that	SCONJ	37	mark
9	,	PUNCT	37	punct
10	"	PUNCT	37	punct
11	if	SCONJ	20	mark
12	my	PRON	14	nmod:poss
13	best	ADJ	14	amod
14	friend	NOUN	20	nsubj
15	who	PRON	16	nsubj
16	lives	VERB	14	acl:relcl
17	next	ADJ	18	amod
18	door	NOUN	16	obj
19	was	AUX	20	aux
20	playing	VERB	37	advcl
21	in	ADP	23	case
22	the	DET	23	det
23	street	NOUN	20	obl
24	when	SCONJ	27	mark
25	a	DET	26	det
26	car	NOUN	27	nsubj
27	came	VERB	20	advcl
28	along	ADV	27	advmod
29	and	CCONJ	30	cc
30	killed	VERB	27	conj
31	him	PRON	30	obj
32	,	PUNCT	37	punct
33	that	PRON	37	nsubj
34	would	AUX	37	aux
35	be	AUX	37	cop
36	a	DET	37	det
37	tragedy	NOUN	7	ccomp
38	"	PUNCT	37	punct
39	.	PUNCT	4	punct