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 mismo camino siguió Domingos da Guia, el conocido como mejor defensa de Brasil, que murió a los 87 años.
Postion	Tokenization
1	El
2	mismo
3	camino
4	siguió
5	Domingos
6	da
7	Guia
8	,
9	el
10	conocido
11	como
12	mejor
13	defensa
14	de
15	Brasil
16	,
17	que
18	murió
19	a
20	los
21	87
22	años
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	mismo	DET	1	det
3	camino	NOUN	4	obj
4	siguió	VERB	0	root
5	Domingos	PROPN	4	nsubj
6	da	ADP	7	case
7	Guia	PROPN	5	flat
8	,	PUNCT	10	punct
9	el	DET	10	det
10	conocido	ADJ	5	appos
11	como	SCONJ	13	mark
12	mejor	ADJ	13	amod
13	defensa	NOUN	10	obj
14	de	ADP	15	case
15	Brasil	PROPN	13	nmod
16	,	PUNCT	10	punct
17	que	PRON	18	nsubj
18	murió	VERB	5	acl
19	a	ADP	22	case
20	los	DET	21	det
21	87	NUM	22	nummod
22	años	NOUN	18	obl
23	.	PUNCT	4	punct