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:
Before coming to Acupuncture DOCTOR I was a big baby about needles and only came because my boyfriend's aunt recommended it.
Postion	Tokenization
1	Before
2	coming
3	to
4	Acupuncture
5	DOCTOR
6	I
7	was
8	a
9	big
10	baby
11	about
12	needles
13	and
14	only
15	came
16	because
17	my
18	boyfriend's
19	boyfriend
20	's
21	aunt
22	recommended
23	it
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Before	SCONJ	2	mark
2	coming	VERB	10	advcl
3	to	ADP	5	case
4	Acupuncture	NOUN	5	compound
5	DOCTOR	NOUN	2	obl
6	I	PRON	10	nsubj
7	was	AUX	10	cop
8	a	DET	10	det
9	big	ADJ	10	amod
10	baby	NOUN	0	root
11	about	ADP	12	case
12	needles	NOUN	10	nmod
13	and	CCONJ	15	cc
14	only	ADV	15	advmod
15	came	VERB	10	conj
16	because	SCONJ	21	mark
17	my	PRON	18	nmod:poss
18	boyfriend's	_	None	_
19	boyfriend	NOUN	20	nmod:poss
20	's	PART	18	case
21	aunt	NOUN	21	nsubj
22	recommended	VERB	15	advcl
23	it	PRON	21	obj
24	.	PUNCT	10	punct