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 text: As the survey cited in the above-linked article shows, most Google users don't intend to use Gmail, and Google isn't even as popular as Yahoo! and AOL.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	11	mark
2	the	DET	3	det
3	survey	NOUN	11	nsubj
4	cited	VERB	3	acl
5	in	ADP	10	case
6	the	DET	10	det
7	above	ADV	9	compound
8	-	PUNCT	9	punct
9	linked	VERB	10	amod
10	article	NOUN	4	obl
11	shows	VERB	18	advcl
12	,	PUNCT	18	punct
13	most	ADJ	15	amod
14	Google	PROPN	15	compound
15	users	NOUN	18	nsubj
16	don't	_	None	_
17	do	AUX	18	aux
18	n't	PART	18	advmod
19	intend	VERB	0	root
20	to	PART	20	mark
21	use	VERB	18	xcomp
22	Gmail	PROPN	20	obj
23	,	PUNCT	29	punct
24	and	CCONJ	29	cc
25	Google	PROPN	29	nsubj
26	isn't	_	None	_
27	is	AUX	29	cop
28	n't	PART	29	advmod
29	even	ADV	29	advmod
30	as	ADV	29	advmod
31	popular	ADJ	18	conj
32	as	ADP	31	case
33	Yahoo!	PROPN	29	obl
34	and	CCONJ	33	cc
35	AOL	PROPN	31	conj
36	.	PUNCT	18	punct