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:
As for me, well, I lead the simple life, own a little house in West University, own a little car (I had to buy a new one recently - the 14-year old 380 SE started scaring me a bit), you know, the usual.
Postion	Tokenization
1	As
2	for
3	me
4	,
5	well
6	,
7	I
8	lead
9	the
10	simple
11	life
12	,
13	own
14	a
15	little
16	house
17	in
18	West
19	University
20	,
21	own
22	a
23	little
24	car
25	(
26	I
27	had
28	to
29	buy
30	a
31	new
32	one
33	recently
34	-
35	the
36	14
37	-
38	year
39	old
40	380
41	SE
42	started
43	scaring
44	me
45	a
46	bit
47	)
48	,
49	you
50	know
51	,
52	the
53	usual
54	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	3	case
2	for	ADP	1	fixed
3	me	PRON	8	obl
4	,	PUNCT	8	punct
5	well	INTJ	8	discourse
6	,	PUNCT	8	punct
7	I	PRON	8	nsubj
8	lead	VERB	0	root
9	the	DET	11	det
10	simple	ADJ	11	amod
11	life	NOUN	8	obj
12	,	PUNCT	13	punct
13	own	VERB	8	conj
14	a	DET	16	det
15	little	ADJ	16	amod
16	house	NOUN	13	obj
17	in	ADP	19	case
18	West	PROPN	19	compound
19	University	PROPN	16	nmod
20	,	PUNCT	21	punct
21	own	VERB	8	conj
22	a	DET	24	det
23	little	ADJ	24	amod
24	car	NOUN	21	obj
25	(	PUNCT	41	punct
26	I	PRON	27	nsubj
27	had	VERB	8	parataxis
28	to	PART	29	mark
29	buy	VERB	27	xcomp
30	a	DET	32	det
31	new	ADJ	32	amod
32	one	NOUN	29	obj
33	recently	ADV	29	advmod
34	-	PUNCT	41	punct
35	the	DET	41	det
36	14	NUM	38	nummod
37	-	PUNCT	38	punct
38	year	NOUN	39	obl:npmod
39	old	ADJ	41	amod
40	380	PROPN	41	compound
41	SE	PROPN	42	nsubj
42	started	VERB	8	parataxis
43	scaring	VERB	42	xcomp
44	me	PRON	43	obj
45	a	DET	46	det
46	bit	NOUN	43	obl:npmod
47	)	PUNCT	42	punct
48	,	PUNCT	42	punct
49	you	PRON	50	nsubj
50	know	VERB	42	parataxis
51	,	PUNCT	42	punct
52	the	DET	53	det
53	usual	ADJ	42	parataxis
54	.	PUNCT	41	punct