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:
for the past few days she has been shivering and wont eat but she could walk now her hid legs are not working but she is back to her self .. what should i do .?
Postion	Tokenization
1	for
2	the
3	past
4	few
5	days
6	she
7	has
8	been
9	shivering
10	and
11	wont
12	wo
13	nt
14	eat
15	but
16	she
17	could
18	walk
19	now
20	her
21	hid
22	legs
23	are
24	not
25	working
26	but
27	she
28	is
29	back
30	to
31	her
32	self
33	..
34	what
35	should
36	i
37	do
38	.?
Position	Tokenization	UPOS	Head	Deprel
1	for	ADP	5	case
2	the	DET	5	det
3	past	ADJ	5	amod
4	few	ADJ	5	amod
5	days	NOUN	9	obl
6	she	PRON	9	nsubj
7	has	AUX	9	aux
8	been	AUX	9	aux
9	shivering	VERB	0	root
10	and	CCONJ	13	cc
11	wont	_	None	_
12	wo	AUX	13	aux
13	nt	PART	13	advmod
14	eat	VERB	9	conj
15	but	CCONJ	17	cc
16	she	PRON	17	nsubj
17	could	AUX	17	aux
18	walk	VERB	9	conj
19	now	ADV	24	advmod
20	her	PRON	21	nmod:poss
21	hid	ADJ	21	amod
22	legs	NOUN	24	nsubj
23	are	AUX	24	aux
24	not	PART	24	advmod
25	working	VERB	9	parataxis
26	but	CCONJ	28	cc
27	she	PRON	28	nsubj
28	is	AUX	28	cop
29	back	ADV	24	conj
30	to	ADP	31	case
31	her	PRON	31	nmod:poss
32	self	NOUN	28	obl
33	..	PUNCT	9	punct
34	what	PRON	36	obj
35	should	AUX	36	aux
36	i	PRON	36	nsubj
37	do	VERB	9	parataxis
38	.?	PUNCT	9	punct