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:
Las candidaturas independientes las representan Peter Cumming y Lyana Armstrong Emery, que aspirarán a conseguir uno de los 15 escaños que conforman la Asamblea Legislativa.
Postion	Tokenization
1	Las
2	candidaturas
3	independientes
4	las
5	representan
6	Peter
7	Cumming
8	y
9	Lyana
10	Armstrong
11	Emery
12	,
13	que
14	aspirarán
15	a
16	conseguir
17	uno
18	de
19	los
20	15
21	escaños
22	que
23	conforman
24	la
25	Asamblea
26	Legislativa
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	candidaturas	NOUN	5	iobj
3	independientes	ADJ	2	amod
4	las	PRON	5	obj
5	representan	VERB	0	root
6	Peter	PROPN	5	nsubj
7	Cumming	PROPN	6	flat
8	y	CCONJ	9	cc
9	Lyana	PROPN	6	conj
10	Armstrong	PROPN	9	flat
11	Emery	PROPN	9	flat
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	aspirarán	VERB	5	advcl
15	a	ADP	16	mark
16	conseguir	VERB	14	xcomp
17	uno	PRON	16	obj
18	de	ADP	21	case
19	los	DET	20	det
20	15	NUM	21	nummod
21	escaños	NOUN	17	nmod
22	que	PRON	23	nsubj
23	conforman	VERB	21	acl
24	la	DET	25	det
25	Asamblea	PROPN	23	obj
26	Legislativa	PROPN	25	flat
27	.	PUNCT	5	punct