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 partidos, porque ahí veremos enfrentados al candidato de tal formación con la otra y los votantes se guiarán por sus preferencias políticas", opina un ex rector de una universidad catalana.
Postion	Tokenization
1	"
2	Los
3	partidos
4	,
5	porque
6	ahí
7	veremos
8	enfrentados
9	al
10	candidato
11	de
12	tal
13	formación
14	con
15	la
16	otra
17	y
18	los
19	votantes
20	se
21	guiarán
22	por
23	sus
24	preferencias
25	políticas
26	"
27	,
28	opina
29	un
30	ex
31	rector
32	de
33	una
34	universidad
35	catalana
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	Los	DET	3	det
3	partidos	NOUN	7	obj
4	,	PUNCT	7	punct
5	porque	SCONJ	7	mark
6	ahí	ADV	7	advmod
7	veremos	VERB	28	ccomp
8	enfrentados	ADJ	7	obj
9	al	ADP	10	case
10	candidato	NOUN	7	obj
11	de	ADP	13	case
12	tal	DET	13	det
13	formación	NOUN	10	nmod
14	con	ADP	16	case
15	la	DET	16	det
16	otra	PRON	7	obj
17	y	CCONJ	21	cc
18	los	DET	19	det
19	votantes	NOUN	21	nsubj
20	se	PRON	21	obj
21	guiarán	VERB	7	conj
22	por	ADP	24	case
23	sus	DET	24	det
24	preferencias	NOUN	21	obl
25	políticas	ADJ	24	amod
26	"	PUNCT	7	punct
27	,	PUNCT	7	punct
28	opina	VERB	0	root
29	un	DET	31	det
30	ex	ADJ	31	amod
31	rector	NOUN	28	nsubj
32	de	ADP	34	case
33	una	DET	34	det
34	universidad	NOUN	31	nmod
35	catalana	ADJ	34	amod
36	.	PUNCT	28	punct