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:
We've got a Steven, the one word that didn't crash my spell-check, despite it being followed by a Vikash Chand Abdul Shakur.
Postion	Tokenization
1	We've
2	We
3	've
4	got
5	a
6	Steven
7	,
8	the
9	one
10	word
11	that
12	didn't
13	did
14	n't
15	crash
16	my
17	spell
18	-
19	check
20	,
21	despite
22	it
23	being
24	followed
25	by
26	a
27	Vikash
28	Chand
29	Abdul
30	Shakur
31	.
Position	Tokenization	UPOS	Head	Deprel
1	We've	_	None	_
2	We	PRON	3	nsubj
3	've	AUX	3	aux
4	got	VERB	0	root
5	a	DET	5	det
6	Steven	PROPN	3	obj
7	,	PUNCT	5	punct
8	the	DET	9	det
9	one	NUM	9	nummod
10	word	NOUN	5	appos
11	that	PRON	13	nsubj
12	didn't	_	None	_
13	did	AUX	13	aux
14	n't	PART	13	advmod
15	crash	VERB	9	acl:relcl
16	my	PRON	17	nmod:poss
17	spell	NOUN	17	compound
18	-	PUNCT	17	punct
19	check	NOUN	13	obj
20	,	PUNCT	13	punct
21	despite	SCONJ	22	mark
22	it	PRON	22	nsubj:pass
23	being	AUX	22	aux:pass
24	followed	VERB	13	advcl
25	by	ADP	25	case
26	a	DET	25	det
27	Vikash	PROPN	22	obl
28	Chand	PROPN	25	flat
29	Abdul	PROPN	25	flat
30	Shakur	PROPN	25	flat
31	.	PUNCT	3	punct