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 líder histórico, Manuel Pérez Martínez, Camarada Arenas, cedió el relevo a Fernando Silva Sande, presunto cerebro del secuestro de Publio Cordón.
Postion	Tokenization
1	El
2	líder
3	histórico
4	,
5	Manuel
6	Pérez
7	Martínez
8	,
9	Camarada
10	Arenas
11	,
12	cedió
13	el
14	relevo
15	a
16	Fernando
17	Silva
18	Sande
19	,
20	presunto
21	cerebro
22	del
23	secuestro
24	de
25	Publio
26	Cordón
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	líder	NOUN	12	nsubj
3	histórico	ADJ	2	amod
4	,	PUNCT	5	punct
5	Manuel	PROPN	2	appos
6	Pérez	PROPN	5	flat
7	Martínez	PROPN	5	flat
8	,	PUNCT	5	punct
9	Camarada	PROPN	2	appos
10	Arenas	PROPN	9	flat
11	,	PUNCT	2	punct
12	cedió	VERB	0	root
13	el	DET	14	det
14	relevo	NOUN	12	obj
15	a	ADP	16	case
16	Fernando	PROPN	12	obj
17	Silva	PROPN	16	flat
18	Sande	PROPN	16	flat
19	,	PUNCT	21	punct
20	presunto	ADJ	21	amod
21	cerebro	NOUN	16	appos
22	del	ADP	23	case
23	secuestro	NOUN	21	nmod
24	de	ADP	25	case
25	Publio	PROPN	23	nmod
26	Cordón	PROPN	25	flat
27	.	PUNCT	12	punct