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:
"Se inscribió para siempre en los anales de la historia del deporte con letras imborrables, todo el mundo conoce su nombre y estoy convencido de que nunca caerá en el olvido", dijo Jirasek.
Postion	Tokenization
1	"
2	Se
3	inscribió
4	para
5	siempre
6	en
7	los
8	anales
9	de
10	la
11	historia
12	del
13	deporte
14	con
15	letras
16	imborrables
17	,
18	todo
19	el
20	mundo
21	conoce
22	su
23	nombre
24	y
25	estoy
26	convencido
27	de
28	que
29	nunca
30	caerá
31	en
32	el
33	olvido
34	"
35	,
36	dijo
37	Jirasek
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Se	PRON	3	obj
3	inscribió	VERB	36	ccomp
4	para	ADP	5	case
5	siempre	ADV	3	advmod
6	en	ADP	8	case
7	los	DET	8	det
8	anales	NOUN	3	obl
9	de	ADP	11	case
10	la	DET	11	det
11	historia	NOUN	8	nmod
12	del	ADP	13	case
13	deporte	NOUN	11	nmod
14	con	ADP	15	case
15	letras	NOUN	3	obl
16	imborrables	ADJ	15	amod
17	,	PUNCT	3	punct
18	todo	DET	19	det
19	el	DET	20	det
20	mundo	NOUN	21	nsubj
21	conoce	VERB	3	advcl
22	su	DET	23	det
23	nombre	NOUN	21	obj
24	y	CCONJ	26	cc
25	estoy	AUX	26	cop
26	convencido	ADJ	21	conj
27	de	ADP	30	mark
28	que	SCONJ	30	mark
29	nunca	ADV	30	advmod
30	caerá	VERB	26	ccomp
31	en	ADP	33	case
32	el	DET	33	det
33	olvido	NOUN	30	obl
34	"	PUNCT	3	punct
35	,	PUNCT	3	punct
36	dijo	VERB	0	root
37	Jirasek	PROPN	36	nsubj
38	.	PUNCT	36	punct