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:
Además, el presidente no posee ninguna casa en los alrededores de Lausana ", reza uno de los 12 desmentidos que ayer hizo públicos el COI.
Postion	Tokenization
1	Además
2	,
3	el
4	presidente
5	no
6	posee
7	ninguna
8	casa
9	en
10	los
11	alrededores
12	de
13	Lausana
14	"
15	,
16	reza
17	uno
18	de
19	los
20	12
21	desmentidos
22	que
23	ayer
24	hizo
25	públicos
26	el
27	COI
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	6	advmod
2	,	PUNCT	1	punct
3	el	DET	4	det
4	presidente	NOUN	6	nsubj
5	no	ADV	6	advmod
6	posee	VERB	16	ccomp
7	ninguna	DET	8	det
8	casa	NOUN	6	obj
9	en	ADP	11	case
10	los	DET	11	det
11	alrededores	NOUN	6	obl
12	de	ADP	13	case
13	Lausana	PROPN	11	nmod
14	"	PUNCT	6	punct
15	,	PUNCT	6	punct
16	reza	VERB	0	root
17	uno	PRON	16	nsubj
18	de	ADP	21	case
19	los	DET	20	det
20	12	NUM	21	nummod
21	desmentidos	NOUN	17	nmod
22	que	PRON	24	obj
23	ayer	ADV	24	advmod
24	hizo	VERB	21	acl
25	públicos	ADJ	24	obj
26	el	DET	27	det
27	COI	PROPN	24	nsubj
28	.	PUNCT	16	punct