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:
just pray for her ad=nd try to hlep your dog and do some physical therapy on the hind legs and take her to the vet and ig it costs a whole lot ask hlep from you friends and family adn since shes not eating feed her by hand
Postion	Tokenization
1	just
2	pray
3	for
4	her
5	ad=nd
6	try
7	to
8	hlep
9	your
10	dog
11	and
12	do
13	some
14	physical
15	therapy
16	on
17	the
18	hind
19	legs
20	and
21	take
22	her
23	to
24	the
25	vet
26	and
27	ig
28	it
29	costs
30	a
31	whole
32	lot
33	ask
34	hlep
35	from
36	you
37	friends
38	and
39	family
40	adn
41	since
42	shes
43	she
44	s
45	not
46	eating
47	feed
48	her
49	by
50	hand
Position	Tokenization	UPOS	Head	Deprel
1	just	ADV	2	advmod
2	pray	VERB	0	root
3	for	ADP	4	case
4	her	PRON	2	obl
5	ad=nd	CCONJ	6	cc
6	try	VERB	2	conj
7	to	PART	8	mark
8	hlep	VERB	6	xcomp
9	your	PRON	10	nmod:poss
10	dog	NOUN	8	obj
11	and	CCONJ	12	cc
12	do	VERB	2	conj
13	some	DET	15	det
14	physical	ADJ	15	amod
15	therapy	NOUN	12	obj
16	on	ADP	19	case
17	the	DET	19	det
18	hind	ADJ	19	amod
19	legs	NOUN	15	nmod
20	and	CCONJ	21	cc
21	take	VERB	2	conj
22	her	PRON	21	obj
23	to	ADP	25	case
24	the	DET	25	det
25	vet	NOUN	21	obl
26	and	CCONJ	33	cc
27	ig	SCONJ	29	mark
28	it	PRON	29	nsubj
29	costs	VERB	33	advcl
30	a	DET	32	det
31	whole	ADJ	32	amod
32	lot	NOUN	29	obj
33	ask	VERB	2	conj
34	hlep	NOUN	33	obj
35	from	ADP	37	case
36	you	PRON	37	nmod:poss
37	friends	NOUN	33	obl
38	and	CCONJ	39	cc
39	family	NOUN	37	conj
40	adn	CCONJ	46	cc
41	since	SCONJ	45	mark
42	shes	_	None	_
43	she	PRON	45	nsubj
44	s	AUX	45	aux
45	not	PART	45	advmod
46	eating	VERB	46	advcl
47	feed	VERB	2	conj
48	her	PRON	46	obj
49	by	ADP	49	case
50	hand	NOUN	46	obl