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:
La instancia judicial suprema del Estado tiene paralizada la certificación oficial del resultado de las elecciones presidenciales en Florida mientras no haya un dictamen suyo sobre el recuento manual.
Postion	Tokenization
1	La
2	instancia
3	judicial
4	suprema
5	del
6	Estado
7	tiene
8	paralizada
9	la
10	certificación
11	oficial
12	del
13	resultado
14	de
15	las
16	elecciones
17	presidenciales
18	en
19	Florida
20	mientras
21	no
22	haya
23	un
24	dictamen
25	suyo
26	sobre
27	el
28	recuento
29	manual
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	instancia	NOUN	7	nsubj
3	judicial	ADJ	2	amod
4	suprema	ADJ	2	amod
5	del	ADP	6	case
6	Estado	PROPN	2	nmod
7	tiene	VERB	0	root
8	paralizada	ADJ	7	obj
9	la	DET	10	det
10	certificación	NOUN	7	obj
11	oficial	ADJ	10	amod
12	del	ADP	13	case
13	resultado	NOUN	10	nmod
14	de	ADP	16	case
15	las	DET	16	det
16	elecciones	NOUN	13	nmod
17	presidenciales	ADJ	16	amod
18	en	ADP	19	case
19	Florida	PROPN	16	nmod
20	mientras	SCONJ	22	mark
21	no	ADV	22	advmod
22	haya	AUX	7	advcl
23	un	DET	24	det
24	dictamen	NOUN	22	obj
25	suyo	DET	24	det
26	sobre	ADP	28	case
27	el	DET	28	det
28	recuento	NOUN	22	obl
29	manual	ADJ	28	amod
30	.	PUNCT	7	punct