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:
GOODWYN: According to Archibald, Mr. Bush would also sometimes tell stories about his days at Yale in New Haven, and how whenever he got pulled over for erratic driving, he was let go after the officers discovered he was the grandson of a Connecticut US senator.
Postion	Tokenization
1	GOODWYN
2	:
3	According
4	to
5	Archibald
6	,
7	Mr.
8	Bush
9	would
10	also
11	sometimes
12	tell
13	stories
14	about
15	his
16	days
17	at
18	Yale
19	in
20	New
21	Haven
22	,
23	and
24	how
25	whenever
26	he
27	got
28	pulled
29	over
30	for
31	erratic
32	driving
33	,
34	he
35	was
36	let
37	go
38	after
39	the
40	officers
41	discovered
42	he
43	was
44	the
45	grandson
46	of
47	a
48	Connecticut
49	US
50	senator
51	.
Position	Tokenization	UPOS	Head	Deprel
1	GOODWYN	PROPN	0	root
2	:	PUNCT	1	punct
3	According	VERB	5	case
4	to	ADP	5	case
5	Archibald	PROPN	12	obl
6	,	PUNCT	12	punct
7	Mr.	PROPN	12	nsubj
8	Bush	PROPN	7	flat
9	would	AUX	12	aux
10	also	ADV	12	advmod
11	sometimes	ADV	12	advmod
12	tell	VERB	1	parataxis
13	stories	NOUN	12	obj
14	about	ADP	16	case
15	his	PRON	16	nmod:poss
16	days	NOUN	13	nmod
17	at	ADP	18	case
18	Yale	PROPN	16	nmod
19	in	ADP	21	case
20	New	PROPN	21	compound
21	Haven	PROPN	16	nmod
22	,	PUNCT	36	punct
23	and	CCONJ	36	cc
24	how	SCONJ	36	mark
25	whenever	SCONJ	28	mark
26	he	PRON	28	nsubj:pass
27	got	AUX	28	aux:pass
28	pulled	VERB	36	advcl
29	over	ADV	28	advmod
30	for	ADP	32	case
31	erratic	ADJ	32	amod
32	driving	NOUN	28	obl
33	,	PUNCT	36	punct
34	he	PRON	36	nsubj:pass
35	was	AUX	36	aux:pass
36	let	VERB	16	conj
37	go	VERB	36	xcomp
38	after	SCONJ	41	mark
39	the	DET	40	det
40	officers	NOUN	41	nsubj
41	discovered	VERB	36	advcl
42	he	PRON	45	nsubj
43	was	AUX	45	cop
44	the	DET	45	det
45	grandson	NOUN	41	ccomp
46	of	ADP	50	case
47	a	DET	50	det
48	Connecticut	PROPN	50	compound
49	US	PROPN	50	compound
50	senator	PROPN	45	nmod
51	.	PUNCT	1	punct