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:
I love her and want to help her but I don't know when I'll be able to take her to to vet :( please help.
Postion	Tokenization
1	I
2	love
3	her
4	and
5	want
6	to
7	help
8	her
9	but
10	I
11	don't
12	do
13	n't
14	know
15	when
16	I'll
17	I
18	'll
19	be
20	able
21	to
22	take
23	her
24	to
25	to
26	vet
27	:(
28	please
29	help
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	love	VERB	0	root
3	her	PRON	2	obj
4	and	CCONJ	5	cc
5	want	VERB	2	conj
6	to	PART	7	mark
7	help	VERB	5	xcomp
8	her	PRON	7	obj
9	but	CCONJ	13	cc
10	I	PRON	13	nsubj
11	don't	_	None	_
12	do	AUX	13	aux
13	n't	PART	13	advmod
14	know	VERB	2	conj
15	when	SCONJ	18	mark
16	I'll	_	None	_
17	I	PRON	18	nsubj
18	'll	AUX	18	aux
19	be	AUX	18	cop
20	able	ADJ	13	advcl
21	to	PART	20	mark
22	take	VERB	18	xcomp
23	her	PRON	20	obj
24	to	ADP	24	case
25	to	ADP	24	det
26	vet	NOUN	20	obl
27	:(	SYM	20	discourse
28	please	INTJ	27	discourse
29	help	VERB	2	parataxis
30	.	PUNCT	2	punct