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:
Bobby is a member of a bicycle team, while cycling this weekend, he and other members of his team were injured by a truck.?
Postion	Tokenization
1	Bobby
2	is
3	a
4	member
5	of
6	a
7	bicycle
8	team
9	,
10	while
11	cycling
12	this
13	weekend
14	,
15	he
16	and
17	other
18	members
19	of
20	his
21	team
22	were
23	injured
24	by
25	a
26	truck
27	.?
Position	Tokenization	UPOS	Head	Deprel
1	Bobby	PROPN	4	nsubj
2	is	AUX	4	cop
3	a	DET	4	det
4	member	NOUN	0	root
5	of	ADP	8	case
6	a	DET	8	det
7	bicycle	NOUN	8	compound
8	team	NOUN	4	nmod
9	,	PUNCT	4	punct
10	while	SCONJ	11	mark
11	cycling	VERB	23	advcl
12	this	DET	13	det
13	weekend	NOUN	11	obl:tmod
14	,	PUNCT	23	punct
15	he	PRON	23	nsubj:pass
16	and	CCONJ	18	cc
17	other	ADJ	18	amod
18	members	NOUN	15	conj
19	of	ADP	21	case
20	his	PRON	21	nmod:poss
21	team	NOUN	18	nmod
22	were	AUX	23	aux:pass
23	injured	VERB	4	parataxis
24	by	ADP	26	case
25	a	DET	26	det
26	truck	NOUN	23	obl
27	.?	PUNCT	4	punct