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:
Perhaps Jim Armogida can assist in revising them as I am sure he is more familiar with the way Enron Corp. likes their resolutions drafted than we are.
Postion	Tokenization
1	Perhaps
2	Jim
3	Armogida
4	can
5	assist
6	in
7	revising
8	them
9	as
10	I
11	am
12	sure
13	he
14	is
15	more
16	familiar
17	with
18	the
19	way
20	Enron
21	Corp.
22	likes
23	their
24	resolutions
25	drafted
26	than
27	we
28	are
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Perhaps	ADV	5	advmod
2	Jim	PROPN	5	nsubj
3	Armogida	PROPN	2	flat
4	can	AUX	5	aux
5	assist	VERB	0	root
6	in	SCONJ	7	mark
7	revising	VERB	5	advcl
8	them	PRON	7	obj
9	as	SCONJ	12	mark
10	I	PRON	12	nsubj
11	am	AUX	12	cop
12	sure	ADJ	5	advcl
13	he	PRON	16	nsubj
14	is	AUX	16	cop
15	more	ADV	16	advmod
16	familiar	ADJ	12	ccomp
17	with	ADP	19	case
18	the	DET	19	det
19	way	NOUN	16	obl
20	Enron	PROPN	21	compound
21	Corp.	PROPN	22	nsubj
22	likes	VERB	19	acl:relcl
23	their	PRON	24	nmod:poss
24	resolutions	NOUN	22	obj
25	drafted	VERB	24	acl
26	than	SCONJ	28	mark
27	we	PRON	28	nsubj
28	are	VERB	16	ccomp
29	.	PUNCT	5	punct