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 Universitat Pompeu Fabra (UPF) celebró ayer elecciones para renovar la totalidad del claustro, que en los próximos meses tiene que elegir al nuevo rector.
Postion	Tokenization
1	La
2	Universitat
3	Pompeu
4	Fabra
5	(
6	UPF
7	)
8	celebró
9	ayer
10	elecciones
11	para
12	renovar
13	la
14	totalidad
15	del
16	claustro
17	,
18	que
19	en
20	los
21	próximos
22	meses
23	tiene
24	que
25	elegir
26	al
27	nuevo
28	rector
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Universitat	PROPN	8	nsubj
3	Pompeu	PROPN	2	flat
4	Fabra	PROPN	2	flat
5	(	PUNCT	6	punct
6	UPF	PROPN	2	flat
7	)	PUNCT	6	punct
8	celebró	VERB	0	root
9	ayer	ADV	8	advmod
10	elecciones	NOUN	8	obj
11	para	ADP	12	mark
12	renovar	VERB	10	acl
13	la	DET	14	det
14	totalidad	NOUN	12	obj
15	del	ADP	16	case
16	claustro	NOUN	14	nmod
17	,	PUNCT	23	punct
18	que	PRON	25	nsubj
19	en	ADP	22	case
20	los	DET	22	det
21	próximos	ADJ	22	amod
22	meses	NOUN	25	obl
23	tiene	VERB	16	acl
24	que	SCONJ	25	cc
25	elegir	VERB	23	conj
26	al	ADP	28	case
27	nuevo	ADJ	28	amod
28	rector	NOUN	25	obj
29	.	PUNCT	8	punct