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:
Dicen que honró el título, primero, antes de oficializarlo, en los terrenos de juego, y después, en la cancha de la vida, en la que dio ejemplo de deportividad.
Postion	Tokenization
1	Dicen
2	que
3	honró
4	el
5	título
6	,
7	primero
8	,
9	antes
10	de
11	oficializarlo
12	oficializar
13	lo
14	,
15	en
16	los
17	terrenos
18	de
19	juego
20	,
21	y
22	después
23	,
24	en
25	la
26	cancha
27	de
28	la
29	vida
30	,
31	en
32	la
33	que
34	dio
35	ejemplo
36	de
37	deportividad
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Dicen	VERB	0	root
2	que	SCONJ	3	mark
3	honró	VERB	1	ccomp
4	el	DET	5	det
5	título	NOUN	3	obj
6	,	PUNCT	7	punct
7	primero	ADV	3	advmod
8	,	PUNCT	7	punct
9	antes	ADV	3	advmod
10	de	ADP	11	mark
11	oficializarlo	_	None	_
12	oficializar	VERB	9	advcl
13	lo	PRON	11	obj
14	,	PUNCT	16	punct
15	en	ADP	16	case
16	los	DET	16	det
17	terrenos	NOUN	3	obl
18	de	ADP	18	case
19	juego	NOUN	16	nmod
20	,	PUNCT	16	punct
21	y	CCONJ	21	cc
22	después	ADV	3	conj
23	,	PUNCT	21	punct
24	en	ADP	21	case
25	la	DET	25	det
26	cancha	NOUN	21	nmod
27	de	ADP	28	case
28	la	DET	28	det
29	vida	NOUN	25	nmod
30	,	PUNCT	33	punct
31	en	ADP	32	case
32	la	DET	32	det
33	que	PRON	33	obl
34	dio	VERB	25	acl
35	ejemplo	NOUN	33	obj
36	de	ADP	36	case
37	deportividad	NOUN	34	nmod
38	.	PUNCT	1	punct