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:
Los demócratas acusan al gobernador de orquestar la convocatoria de la sesión especial del Legislativo de Florida que comenzará hoy con el propósito de seleccionar los delegados presidenciales del estado.
Postion	Tokenization
1	Los
2	demócratas
3	acusan
4	al
5	gobernador
6	de
7	orquestar
8	la
9	convocatoria
10	de
11	la
12	sesión
13	especial
14	del
15	Legislativo
16	de
17	Florida
18	que
19	comenzará
20	hoy
21	con
22	el
23	propósito
24	de
25	seleccionar
26	los
27	delegados
28	presidenciales
29	del
30	estado
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	demócratas	NOUN	3	nsubj
3	acusan	VERB	0	root
4	al	ADP	5	case
5	gobernador	NOUN	3	iobj
6	de	ADP	7	mark
7	orquestar	VERB	3	xcomp
8	la	DET	9	det
9	convocatoria	NOUN	7	obj
10	de	ADP	12	case
11	la	DET	12	det
12	sesión	NOUN	9	nmod
13	especial	ADJ	12	amod
14	del	ADP	15	case
15	Legislativo	PROPN	12	nmod
16	de	ADP	17	case
17	Florida	PROPN	15	flat
18	que	PRON	19	nsubj
19	comenzará	VERB	12	acl
20	hoy	ADV	19	advmod
21	con	ADP	23	case
22	el	DET	23	det
23	propósito	NOUN	19	obl
24	de	ADP	25	mark
25	seleccionar	VERB	23	acl
26	los	DET	27	det
27	delegados	NOUN	25	obj
28	presidenciales	ADJ	27	amod
29	del	ADP	30	case
30	estado	NOUN	27	nmod
31	.	PUNCT	3	punct