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:
That said, the maintenance of this forum is handled by Google and thus will remain reliable and it will ultimately give us more time to play :).
Postion	Tokenization
1	That
2	said
3	,
4	the
5	maintenance
6	of
7	this
8	forum
9	is
10	handled
11	by
12	Google
13	and
14	thus
15	will
16	remain
17	reliable
18	and
19	it
20	will
21	ultimately
22	give
23	us
24	more
25	time
26	to
27	play
28	:)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	That	PRON	2	nsubj
2	said	VERB	10	parataxis
3	,	PUNCT	10	punct
4	the	DET	5	det
5	maintenance	NOUN	10	nsubj:pass
6	of	ADP	8	case
7	this	DET	8	det
8	forum	NOUN	5	nmod
9	is	AUX	10	aux:pass
10	handled	VERB	0	root
11	by	ADP	12	case
12	Google	PROPN	10	obl
13	and	CCONJ	16	cc
14	thus	ADV	16	advmod
15	will	AUX	16	aux
16	remain	VERB	10	conj
17	reliable	ADJ	16	xcomp
18	and	CCONJ	22	cc
19	it	PRON	22	nsubj
20	will	AUX	22	aux
21	ultimately	ADV	22	advmod
22	give	VERB	10	conj
23	us	PRON	22	iobj
24	more	ADJ	25	amod
25	time	NOUN	22	obj
26	to	PART	27	mark
27	play	VERB	25	acl
28	:)	SYM	10	discourse
29	.	PUNCT	10	punct