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:
La presencia de Media Park en Latinoamérica vendrá apoyada principalmente por Telefónica, si bien la productora cuenta entre sus accionistas con Iberdrola, compañía eléctrica que también cuenta con implantación en la zona.
Postion	Tokenization
1	La
2	presencia
3	de
4	Media
5	Park
6	en
7	Latinoamérica
8	vendrá
9	apoyada
10	principalmente
11	por
12	Telefónica
13	,
14	si
15	bien
16	la
17	productora
18	cuenta
19	entre
20	sus
21	accionistas
22	con
23	Iberdrola
24	,
25	compañía
26	eléctrica
27	que
28	también
29	cuenta
30	con
31	implantación
32	en
33	la
34	zona
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	presencia	NOUN	8	nsubj
3	de	ADP	4	case
4	Media	PROPN	2	nmod
5	Park	PROPN	4	flat
6	en	ADP	7	case
7	Latinoamérica	PROPN	2	nmod
8	vendrá	VERB	0	root
9	apoyada	ADJ	8	obj
10	principalmente	ADV	9	obj
11	por	ADP	10	case
12	Telefónica	PROPN	10	nmod
13	,	PUNCT	18	punct
14	si	SCONJ	18	mark
15	bien	ADV	14	fixed
16	la	DET	17	det
17	productora	NOUN	18	nsubj
18	cuenta	VERB	8	advcl
19	entre	ADP	21	case
20	sus	DET	21	det
21	accionistas	NOUN	18	obl
22	con	ADP	23	case
23	Iberdrola	PROPN	18	obj
24	,	PUNCT	25	punct
25	compañía	NOUN	23	appos
26	eléctrica	ADJ	25	amod
27	que	PRON	29	nsubj
28	también	ADV	29	advmod
29	cuenta	VERB	25	acl
30	con	ADP	31	case
31	implantación	NOUN	29	obj
32	en	ADP	34	case
33	la	DET	34	det
34	zona	NOUN	31	nmod
35	.	PUNCT	8	punct