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:
We too, are open to suggestion as the Global and Enron relationships are very important and a high priority to us.
Postion	Tokenization
1	We
2	too
3	,
4	are
5	open
6	to
7	suggestion
8	as
9	the
10	Global
11	and
12	Enron
13	relationships
14	are
15	very
16	important
17	and
18	a
19	high
20	priority
21	to
22	us
23	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	5	nsubj
2	too	ADV	1	advmod
3	,	PUNCT	5	punct
4	are	AUX	5	cop
5	open	ADJ	0	root
6	to	ADP	7	case
7	suggestion	NOUN	5	obl
8	as	SCONJ	16	mark
9	the	DET	13	det
10	Global	PROPN	13	compound
11	and	CCONJ	12	cc
12	Enron	PROPN	10	conj
13	relationships	NOUN	16	nsubj
14	are	AUX	16	cop
15	very	ADV	16	advmod
16	important	ADJ	5	advcl
17	and	CCONJ	20	cc
18	a	DET	20	det
19	high	ADJ	20	amod
20	priority	NOUN	16	conj
21	to	ADP	22	case
22	us	PRON	16	obl
23	.	PUNCT	5	punct