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 recently took a rescue puppy to this Clinic and I was SHOCKED at how well Romeo and My family was treated.
Postion	Tokenization
1	I
2	recently
3	took
4	a
5	rescue
6	puppy
7	to
8	this
9	Clinic
10	and
11	I
12	was
13	SHOCKED
14	at
15	how
16	well
17	Romeo
18	and
19	My
20	family
21	was
22	treated
23	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	recently	ADV	3	advmod
3	took	VERB	0	root
4	a	DET	6	det
5	rescue	NOUN	6	compound
6	puppy	NOUN	3	obj
7	to	ADP	9	case
8	this	DET	9	det
9	Clinic	NOUN	3	obl
10	and	CCONJ	13	cc
11	I	PRON	13	nsubj
12	was	AUX	13	cop
13	SHOCKED	ADJ	3	conj
14	at	SCONJ	22	mark
15	how	SCONJ	16	mark
16	well	ADV	22	advmod
17	Romeo	PROPN	22	nsubj:pass
18	and	CCONJ	20	cc
19	My	PRON	20	nmod:poss
20	family	NOUN	17	conj
21	was	AUX	22	aux:pass
22	treated	VERB	13	advcl
23	.	PUNCT	3	punct