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:
"While we don't have anything specific to announce today, Google and the Wikimedia Foundation are collaboratively evaluating creative ways to support Wikipedia.org and its community."
Postion	Tokenization
1	"
2	While
3	we
4	don't
5	do
6	n't
7	have
8	anything
9	specific
10	to
11	announce
12	today
13	,
14	Google
15	and
16	the
17	Wikimedia
18	Foundation
19	are
20	collaboratively
21	evaluating
22	creative
23	ways
24	to
25	support
26	Wikipedia.org
27	and
28	its
29	community
30	.
31	"
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	20	punct
2	While	SCONJ	6	mark
3	we	PRON	6	nsubj
4	don't	_	None	_
5	do	AUX	6	aux
6	n't	PART	6	advmod
7	have	VERB	20	advcl
8	anything	PRON	6	obj
9	specific	ADJ	7	amod
10	to	PART	10	mark
11	announce	VERB	7	acl
12	today	NOUN	10	obl:tmod
13	,	PUNCT	20	punct
14	Google	PROPN	20	nsubj
15	and	CCONJ	17	cc
16	the	DET	17	det
17	Wikimedia	PROPN	17	compound
18	Foundation	PROPN	13	conj
19	are	AUX	20	aux
20	collaboratively	ADV	20	advmod
21	evaluating	VERB	0	root
22	creative	ADJ	22	amod
23	ways	NOUN	20	obj
24	to	PART	24	mark
25	support	VERB	22	acl
26	Wikipedia.org	X	24	obj
27	and	CCONJ	28	cc
28	its	PRON	28	nmod:poss
29	community	NOUN	25	conj
30	.	PUNCT	20	punct
31	"	PUNCT	20	punct