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:
This BuzzMachine post argues that Google's rush toward ubiquity might backfire -- which we've all heard before, but it's particularly well-put in this post.
Postion	Tokenization
1	This
2	BuzzMachine
3	post
4	argues
5	that
6	Google's
7	Google
8	's
9	rush
10	toward
11	ubiquity
12	might
13	backfire
14	--
15	which
16	we've
17	we
18	've
19	all
20	heard
21	before
22	,
23	but
24	it's
25	it
26	's
27	particularly
28	well
29	-
30	put
31	in
32	this
33	post
34	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	3	det
2	BuzzMachine	PROPN	3	compound
3	post	NOUN	4	nsubj
4	argues	VERB	0	root
5	that	SCONJ	12	mark
6	Google's	_	None	_
7	Google	PROPN	8	nmod:poss
8	's	PART	6	case
9	rush	NOUN	12	nsubj
10	toward	ADP	10	case
11	ubiquity	NOUN	8	nmod
12	might	AUX	12	aux
13	backfire	VERB	4	ccomp
14	--	PUNCT	12	punct
15	which	PRON	18	obj
16	we've	_	None	_
17	we	PRON	18	nsubj
18	've	AUX	18	aux
19	all	ADV	18	advmod
20	heard	VERB	12	acl:relcl
21	before	ADV	18	advmod
22	,	PUNCT	27	punct
23	but	CCONJ	27	cc
24	it's	_	None	_
25	it	PRON	27	nsubj:pass
26	's	AUX	27	cop
27	particularly	ADV	27	advmod
28	well	ADV	27	advmod
29	-	PUNCT	27	punct
30	put	VERB	4	conj
31	in	ADP	30	case
32	this	DET	30	det
33	post	NOUN	27	obl
34	.	PUNCT	4	punct