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:
En el condado de Palm Beach, también en el sureste de Florida, considerado un bastión del Partido Demócrata, el vicepresidente había perdido doce sufragios, tras el recuento de 31 de los quinientos colegios electorales.
Postion	Tokenization
1	En
2	el
3	condado
4	de
5	Palm
6	Beach
7	,
8	también
9	en
10	el
11	sureste
12	de
13	Florida
14	,
15	considerado
16	un
17	bastión
18	del
19	Partido
20	Demócrata
21	,
22	el
23	vicepresidente
24	había
25	perdido
26	doce
27	sufragios
28	,
29	tras
30	el
31	recuento
32	de
33	31
34	de
35	los
36	quinientos
37	colegios
38	electorales
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	condado	NOUN	25	obl
4	de	ADP	5	case
5	Palm	PROPN	3	nmod
6	Beach	PROPN	5	flat
7	,	PUNCT	8	punct
8	también	ADV	3	advmod
9	en	ADP	8	case
10	el	DET	11	det
11	sureste	NOUN	8	nmod
12	de	ADP	13	case
13	Florida	PROPN	11	nmod
14	,	PUNCT	8	punct
15	considerado	ADJ	3	amod
16	un	DET	17	det
17	bastión	NOUN	15	obj
18	del	ADP	19	case
19	Partido	PROPN	17	nmod
20	Demócrata	PROPN	19	flat
21	,	PUNCT	3	punct
22	el	DET	23	det
23	vicepresidente	NOUN	25	nsubj
24	había	AUX	25	aux
25	perdido	VERB	0	root
26	doce	NUM	27	nummod
27	sufragios	NOUN	25	obj
28	,	PUNCT	31	punct
29	tras	ADP	31	case
30	el	DET	31	det
31	recuento	NOUN	25	obl
32	de	ADP	33	case
33	31	NUM	31	nummod
34	de	ADP	37	case
35	los	DET	37	det
36	quinientos	NUM	35	nummod
37	colegios	NOUN	33	nmod
38	electorales	ADJ	37	amod
39	.	PUNCT	25	punct