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:
iv owned beardies for ovr 3 yrs and i handle mine all the time.. they dont go hard lik eneedle hard but they arnt pillow soft.
Postion	Tokenization
1	i
2	v
3	owned
4	beardies
5	for
6	ovr
7	3
8	yrs
9	and
10	i
11	handle
12	mine
13	all
14	the
15	time
16	..
17	they
18	dont
19	do
20	nt
21	go
22	hard
23	lik
24	eneedle
25	hard
26	but
27	they
28	arnt
29	ar
30	nt
31	pillow
32	soft
33	.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	3	nsubj
2	v	AUX	3	aux
3	owned	VERB	0	root
4	beardies	NOUN	3	obj
5	for	ADP	8	case
6	ovr	ADP	7	advmod
7	3	NUM	8	nummod
8	yrs	NOUN	3	obl
9	and	CCONJ	11	cc
10	i	PRON	11	nsubj
11	handle	VERB	3	conj
12	mine	PRON	11	obj
13	all	DET	15	det:predet
14	the	DET	15	det
15	time	NOUN	11	obl:tmod
16	..	PUNCT	3	punct
17	they	PRON	20	nsubj
18	dont	_	None	_
19	do	AUX	20	aux
20	nt	PART	20	advmod
21	go	VERB	3	parataxis
22	hard	ADJ	20	xcomp
23	lik	ADP	24	case
24	eneedle	NOUN	24	obl:npmod
25	hard	ADJ	21	obl
26	but	CCONJ	27	cc
27	they	PRON	30	nsubj
28	arnt	_	None	_
29	ar	AUX	30	cop
30	nt	PART	30	advmod
31	pillow	NOUN	30	obl:npmod
32	soft	ADJ	20	conj
33	.	PUNCT	3	punct