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 candidato opositor Alejandro Toledo continuó hoy su campaña por el "rescate de la democracia" con un multitudinario mitin en la ciudad de Cañete, 148 kilómetros al sur de Lima, ante unas cinco mil personas que exigían nuevas elecciones.
Postion	Tokenization
1	El
2	candidato
3	opositor
4	Alejandro
5	Toledo
6	continuó
7	hoy
8	su
9	campaña
10	por
11	el
12	"
13	rescate
14	de
15	la
16	democracia
17	"
18	con
19	un
20	multitudinario
21	mitin
22	en
23	la
24	ciudad
25	de
26	Cañete
27	,
28	148
29	kilómetros
30	al
31	sur
32	de
33	Lima
34	,
35	ante
36	unas
37	cinco
38	mil
39	personas
40	que
41	exigían
42	nuevas
43	elecciones
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	candidato	NOUN	6	nsubj
3	opositor	NOUN	2	nmod
4	Alejandro	PROPN	2	appos
5	Toledo	PROPN	4	flat
6	continuó	VERB	0	root
7	hoy	ADV	6	advmod
8	su	DET	9	det
9	campaña	NOUN	6	obj
10	por	ADP	13	case
11	el	DET	13	det
12	"	PUNCT	13	punct
13	rescate	NOUN	9	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	democracia	NOUN	13	nmod
17	"	PUNCT	13	punct
18	con	ADP	21	case
19	un	DET	21	det
20	multitudinario	ADJ	21	amod
21	mitin	NOUN	6	obl
22	en	ADP	24	case
23	la	DET	24	det
24	ciudad	NOUN	21	nmod
25	de	ADP	26	case
26	Cañete	PROPN	24	nmod
27	,	PUNCT	29	punct
28	148	NUM	29	nummod
29	kilómetros	NOUN	26	appos
30	al	ADP	31	case
31	sur	NOUN	29	nmod
32	de	ADP	33	case
33	Lima	PROPN	31	nmod
34	,	PUNCT	29	punct
35	ante	ADP	39	case
36	unas	PRON	37	nmod
37	cinco	NUM	39	nummod
38	mil	NUM	37	compound
39	personas	NOUN	21	nmod
40	que	PRON	41	nsubj
41	exigían	VERB	39	acl
42	nuevas	ADJ	43	amod
43	elecciones	NOUN	41	obj
44	.	PUNCT	6	punct