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:
The decor left a lot to be desired and the posters telling me all the reasons 99 was great just served as an ironic contrast against the reality.
Postion	Tokenization
1	The
2	decor
3	left
4	a
5	lot
6	to
7	be
8	desired
9	and
10	the
11	posters
12	telling
13	me
14	all
15	the
16	reasons
17	99
18	was
19	great
20	just
21	served
22	as
23	an
24	ironic
25	contrast
26	against
27	the
28	reality
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	decor	NOUN	3	nsubj
3	left	VERB	0	root
4	a	DET	5	det
5	lot	NOUN	3	obj
6	to	PART	8	mark
7	be	AUX	8	aux:pass
8	desired	VERB	5	acl
9	and	CCONJ	21	cc
10	the	DET	11	det
11	posters	NOUN	21	nsubj
12	telling	VERB	11	acl
13	me	PRON	12	iobj
14	all	DET	16	det:predet
15	the	DET	16	det
16	reasons	NOUN	12	obj
17	99	PROPN	19	nsubj
18	was	AUX	19	cop
19	great	ADJ	16	acl:relcl
20	just	ADV	21	advmod
21	served	VERB	3	conj
22	as	ADP	25	case
23	an	DET	25	det
24	ironic	ADJ	25	amod
25	contrast	NOUN	21	obl
26	against	ADP	28	case
27	the	DET	28	det
28	reality	NOUN	25	nmod
29	.	PUNCT	3	punct