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:
Subject: Where can I get the necessary software to get a "smart" mail system running on my machine that will take advantage of the postings in comp.mail.maps? (E.g., pathalias, smail, etc.)
Postion	Tokenization
1	Subject
2	:
3	Where
4	can
5	I
6	get
7	the
8	necessary
9	software
10	to
11	get
12	a
13	"
14	smart
15	"
16	mail
17	system
18	running
19	on
20	my
21	machine
22	that
23	will
24	take
25	advantage
26	of
27	the
28	postings
29	in
30	comp.mail.maps
31	?
32	(
33	E.g.
34	,
35	pathalias
36	,
37	smail
38	,
39	etc.
40	)
Position	Tokenization	UPOS	Head	Deprel
1	Subject	NOUN	0	root
2	:	PUNCT	1	punct
3	Where	ADV	6	advmod
4	can	AUX	6	aux
5	I	PRON	6	nsubj
6	get	VERB	1	appos
7	the	DET	9	det
8	necessary	ADJ	9	amod
9	software	NOUN	6	obj
10	to	PART	11	mark
11	get	VERB	9	acl
12	a	DET	17	det
13	"	PUNCT	16	punct
14	smart	ADJ	16	amod
15	"	PUNCT	16	punct
16	mail	NOUN	17	compound
17	system	NOUN	11	obj
18	running	VERB	11	xcomp
19	on	ADP	21	case
20	my	PRON	21	nmod:poss
21	machine	NOUN	18	obl
22	that	PRON	24	nsubj
23	will	AUX	24	aux
24	take	VERB	18	ccomp
25	advantage	NOUN	17	acl:relcl
26	of	ADP	28	case
27	the	DET	28	det
28	postings	NOUN	24	obl
29	in	ADP	30	case
30	comp.mail.maps	NOUN	28	nmod
31	?	PUNCT	1	punct
32	(	PUNCT	35	punct
33	E.g.	ADV	35	advmod
34	,	PUNCT	35	punct
35	pathalias	NOUN	1	parataxis
36	,	PUNCT	37	punct
37	smail	NOUN	35	conj
38	,	PUNCT	39	punct
39	etc.	X	35	conj
40	)	PUNCT	35	punct