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:
The other Canadian recipient of the medal was Ronald Joseph Crawford, 42, of Hamilton, who was killed Aug. 4, 2002, while trying to defend a Hamilton sandwich shop owner from a robber wielding a knife.
Postion	Tokenization
1	The
2	other
3	Canadian
4	recipient
5	of
6	the
7	medal
8	was
9	Ronald
10	Joseph
11	Crawford
12	,
13	42
14	,
15	of
16	Hamilton
17	,
18	who
19	was
20	killed
21	Aug.
22	4
23	,
24	2002
25	,
26	while
27	trying
28	to
29	defend
30	a
31	Hamilton
32	sandwich
33	shop
34	owner
35	from
36	a
37	robber
38	wielding
39	a
40	knife
41	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	other	ADJ	4	amod
3	Canadian	ADJ	4	amod
4	recipient	NOUN	9	nsubj
5	of	ADP	7	case
6	the	DET	7	det
7	medal	NOUN	4	nmod
8	was	AUX	9	cop
9	Ronald	PROPN	0	root
10	Joseph	PROPN	9	flat
11	Crawford	PROPN	9	flat
12	,	PUNCT	9	punct
13	42	NUM	9	nmod:npmod
14	,	PUNCT	9	punct
15	of	ADP	16	case
16	Hamilton	PROPN	9	nmod
17	,	PUNCT	9	punct
18	who	PRON	20	nsubj:pass
19	was	AUX	20	aux:pass
20	killed	VERB	9	acl:relcl
21	Aug.	PROPN	20	obl:tmod
22	4	NUM	21	nummod
23	,	PUNCT	21	punct
24	2002	NUM	21	nummod
25	,	PUNCT	20	punct
26	while	SCONJ	27	mark
27	trying	VERB	20	advcl
28	to	PART	29	mark
29	defend	VERB	27	xcomp
30	a	DET	34	det
31	Hamilton	PROPN	33	compound
32	sandwich	NOUN	33	compound
33	shop	NOUN	34	compound
34	owner	NOUN	29	obj
35	from	ADP	37	case
36	a	DET	37	det
37	robber	NOUN	29	obl
38	wielding	VERB	37	acl
39	a	DET	40	det
40	knife	NOUN	38	obj
41	.	PUNCT	9	punct