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:
The doctor did tell me that my male pattern baldness is due to my mothers father because the gene is exclusively passed on through maternal line but that's a common misconception (http://www.consumerreports.org/health/healthy-living/beauty-personal-care/hair-loss-10-08/hair-loss.htm).
Postion	Tokenization
1	The
2	doctor
3	did
4	tell
5	me
6	that
7	my
8	male
9	pattern
10	baldness
11	is
12	due
13	to
14	my
15	mothers
16	mother
17	s
18	father
19	because
20	the
21	gene
22	is
23	exclusively
24	passed
25	on
26	through
27	maternal
28	line
29	but
30	that's
31	that
32	's
33	a
34	common
35	misconception
36	(
37	http://www.consumerreports.org/health/healthy-living/beauty-personal-care/hair-loss-10-08/hair-loss.htm
38	)
39	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	doctor	NOUN	4	nsubj
3	did	AUX	4	aux
4	tell	VERB	0	root
5	me	PRON	4	iobj
6	that	SCONJ	17	mark
7	my	PRON	10	nmod:poss
8	male	ADJ	10	amod
9	pattern	NOUN	10	compound
10	baldness	NOUN	17	nsubj
11	is	AUX	17	cop
12	due	ADP	17	case
13	to	ADP	12	fixed
14	my	PRON	15	nmod:poss
15	mothers	_	None	_
16	mother	NOUN	17	nmod:poss
17	s	PART	15	case
18	father	NOUN	4	ccomp
19	because	SCONJ	23	mark
20	the	DET	20	det
21	gene	NOUN	23	nsubj:pass
22	is	AUX	23	aux:pass
23	exclusively	ADV	23	advmod
24	passed	VERB	17	advcl
25	on	ADP	23	compound:prt
26	through	ADP	27	case
27	maternal	ADJ	27	amod
28	line	NOUN	23	obl
29	but	CCONJ	33	cc
30	that's	_	None	_
31	that	PRON	33	nsubj
32	's	AUX	33	cop
33	a	DET	33	det
34	common	ADJ	33	amod
35	misconception	NOUN	4	conj
36	(	PUNCT	35	punct
37	http://www.consumerreports.org/health/healthy-living/beauty-personal-care/hair-loss-10-08/hair-loss.htm	X	33	appos
38	)	PUNCT	35	punct
39	.	PUNCT	4	punct