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:
"Jackson ha sido presidente de un equipo, entrenador, asistente de entrenador y oficial ejecutivo de la NBA, por ello pienso que tiene completo conocimiento de su nuevo cargo".
Postion	Tokenization
1	"
2	Jackson
3	ha
4	sido
5	presidente
6	de
7	un
8	equipo
9	,
10	entrenador
11	,
12	asistente
13	de
14	entrenador
15	y
16	oficial
17	ejecutivo
18	de
19	la
20	NBA
21	,
22	por
23	ello
24	pienso
25	que
26	tiene
27	completo
28	conocimiento
29	de
30	su
31	nuevo
32	cargo
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Jackson	PROPN	5	nsubj
3	ha	AUX	5	aux
4	sido	AUX	5	cop
5	presidente	NOUN	0	root
6	de	ADP	8	case
7	un	DET	8	det
8	equipo	NOUN	5	nmod
9	,	PUNCT	10	punct
10	entrenador	NOUN	5	conj
11	,	PUNCT	12	punct
12	asistente	NOUN	5	conj
13	de	ADP	14	case
14	entrenador	NOUN	12	nmod
15	y	CCONJ	17	cc
16	oficial	ADJ	17	amod
17	ejecutivo	NOUN	5	conj
18	de	ADP	20	case
19	la	DET	20	det
20	NBA	PROPN	17	nmod
21	,	PUNCT	5	punct
22	por	ADP	23	case
23	ello	PRON	24	obl
24	pienso	VERB	5	advcl
25	que	SCONJ	26	mark
26	tiene	VERB	24	ccomp
27	completo	ADJ	28	amod
28	conocimiento	NOUN	26	obj
29	de	ADP	32	case
30	su	DET	32	det
31	nuevo	ADJ	32	amod
32	cargo	NOUN	28	nmod
33	"	PUNCT	5	punct
34	.	PUNCT	5	punct