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:
he has been "biting" at her neck and stomach previously while they play without her meowing or anything so im wondering if he went a little to far that one time.
Postion	Tokenization
1	he
2	has
3	been
4	"
5	biting
6	"
7	at
8	her
9	neck
10	and
11	stomach
12	previously
13	while
14	they
15	play
16	without
17	her
18	meowing
19	or
20	anything
21	so
22	im
23	i
24	m
25	wondering
26	if
27	he
28	went
29	a
30	little
31	to
32	far
33	that
34	one
35	time
36	.
Position	Tokenization	UPOS	Head	Deprel
1	he	PRON	5	nsubj
2	has	AUX	5	aux
3	been	AUX	5	aux
4	"	PUNCT	5	punct
5	biting	VERB	0	root
6	"	PUNCT	5	punct
7	at	ADP	9	case
8	her	PRON	9	nmod:poss
9	neck	NOUN	5	obl
10	and	CCONJ	11	cc
11	stomach	NOUN	9	conj
12	previously	ADV	5	advmod
13	while	SCONJ	15	mark
14	they	PRON	15	nsubj
15	play	VERB	5	advcl
16	without	SCONJ	18	mark
17	her	PRON	18	nsubj
18	meowing	VERB	5	advcl
19	or	CCONJ	20	cc
20	anything	PRON	18	conj
21	so	ADV	24	advmod
22	im	_	None	_
23	i	PRON	24	nsubj
24	m	AUX	24	aux
25	wondering	VERB	5	conj
26	if	SCONJ	27	mark
27	he	PRON	27	nsubj
28	went	VERB	24	advcl
29	a	DET	29	det
30	little	ADJ	31	obl:npmod
31	to	ADV	31	advmod
32	far	ADV	27	advmod
33	that	DET	34	det
34	one	NUM	34	nummod
35	time	NOUN	27	obl:tmod
36	.	PUNCT	5	punct