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:
they use them to look prickly.. would you try to eat a cactus [if u had no knife] i know i wouldnt.
Postion	Tokenization
1	they
2	use
3	them
4	to
5	look
6	prickly
7	..
8	would
9	you
10	try
11	to
12	eat
13	a
14	cactus
15	[
16	if
17	u
18	had
19	no
20	knife
21	]
22	i
23	know
24	i
25	would
26	nt
27	.
Position	Tokenization	UPOS	Head	Deprel
1	they	PRON	2	nsubj
2	use	VERB	0	root
3	them	PRON	2	obj
4	to	PART	5	mark
5	look	VERB	2	xcomp
6	prickly	ADJ	5	xcomp
7	..	PUNCT	2	punct
8	would	AUX	10	aux
9	you	PRON	10	nsubj
10	try	VERB	2	parataxis
11	to	PART	12	mark
12	eat	VERB	10	xcomp
13	a	DET	14	det
14	cactus	NOUN	12	obj
15	[	PUNCT	12	punct
16	if	SCONJ	18	mark
17	u	PRON	18	nsubj
18	had	VERB	12	advcl
19	no	DET	20	det
20	knife	NOUN	18	obj
21	]	PUNCT	12	punct
22	i	PRON	23	nsubj
23	know	VERB	2	parataxis
24	i	PRON	25	nsubj
25	would	AUX	23	ccomp
26	nt	PART	25	advmod
27	.	PUNCT	2	punct