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:
Chris and Ben did a marvelous job for Thanksgiving, I can testify that it was one of the best Thanksgiv8ing Dinners I've ever had (I not gonna tell them that, I don't want them getting swell heads).
Postion	Tokenization
1	Chris
2	and
3	Ben
4	did
5	a
6	marvelous
7	job
8	for
9	Thanksgiving
10	,
11	I
12	can
13	testify
14	that
15	it
16	was
17	one
18	of
19	the
20	best
21	Thanksgiv8ing
22	Dinners
23	I've
24	I
25	've
26	ever
27	had
28	(
29	I
30	not
31	gon
32	na
33	tell
34	them
35	that
36	,
37	I
38	don't
39	do
40	n't
41	want
42	them
43	getting
44	swell
45	heads
46	)
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Chris	PROPN	4	nsubj
2	and	CCONJ	3	cc
3	Ben	PROPN	1	conj
4	did	VERB	0	root
5	a	DET	7	det
6	marvelous	ADJ	7	amod
7	job	NOUN	4	obj
8	for	ADP	9	case
9	Thanksgiving	PROPN	4	obl
10	,	PUNCT	4	punct
11	I	PRON	13	nsubj
12	can	AUX	13	aux
13	testify	VERB	4	parataxis
14	that	SCONJ	17	mark
15	it	PRON	17	nsubj
16	was	AUX	17	cop
17	one	NUM	13	ccomp
18	of	ADP	22	case
19	the	DET	22	det
20	best	ADJ	22	amod
21	Thanksgiv8ing	PROPN	22	compound
22	Dinners	NOUN	17	nmod
23	I've	_	None	_
24	I	PRON	26	nsubj
25	've	AUX	26	aux
26	ever	ADV	26	advmod
27	had	VERB	22	acl:relcl
28	(	PUNCT	30	punct
29	I	PRON	30	nsubj
30	not	ADV	30	advmod
31	gon	VERB	4	parataxis
32	na	PART	32	mark
33	tell	VERB	30	xcomp
34	them	PRON	32	iobj
35	that	PRON	32	obj
36	,	PUNCT	30	punct
37	I	PRON	39	nsubj
38	don't	_	None	_
39	do	AUX	39	aux
40	n't	PART	39	advmod
41	want	VERB	30	parataxis
42	them	PRON	39	obj
43	getting	VERB	39	xcomp
44	swell	ADJ	43	amod
45	heads	NOUN	41	obj
46	)	PUNCT	30	punct
47	.	PUNCT	4	punct