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:
El historiador ganó las elecciones celebradas el Jueves por la noche con 444 votos frente a los 323 conseguidos por su rival, el filólogo Biel Ferrer.
Postion	Tokenization
1	El
2	historiador
3	ganó
4	las
5	elecciones
6	celebradas
7	el
8	Jueves
9	por
10	la
11	noche
12	con
13	444
14	votos
15	frente
16	a
17	los
18	323
19	conseguidos
20	por
21	su
22	rival
23	,
24	el
25	filólogo
26	Biel
27	Ferrer
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	historiador	NOUN	3	nsubj
3	ganó	VERB	0	root
4	las	DET	5	det
5	elecciones	NOUN	3	obj
6	celebradas	ADJ	5	amod
7	el	DET	8	det
8	Jueves	NOUN	6	obl
9	por	ADP	11	case
10	la	DET	11	det
11	noche	NOUN	8	nmod
12	con	ADP	14	case
13	444	NUM	14	nummod
14	votos	NOUN	3	obl
15	frente	NOUN	18	case
16	a	ADP	15	fixed
17	los	DET	18	det
18	323	NUM	14	nummod
19	conseguidos	ADJ	18	advmod
20	por	ADP	22	case
21	su	DET	22	det
22	rival	NOUN	19	obj
23	,	PUNCT	25	punct
24	el	DET	25	det
25	filólogo	NOUN	22	appos
26	Biel	PROPN	25	appos
27	Ferrer	PROPN	26	flat
28	.	PUNCT	3	punct