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:
Telefónica llegó a proponer que la adquisición de la única plataforma digital terrestre española se hiciera de forma gratuita, lo que fue rechazado por sus dueños.
Postion	Tokenization
1	Telefónica
2	llegó
3	a
4	proponer
5	que
6	la
7	adquisición
8	de
9	la
10	única
11	plataforma
12	digital
13	terrestre
14	española
15	se
16	hiciera
17	de
18	forma
19	gratuita
20	,
21	lo
22	que
23	fue
24	rechazado
25	por
26	sus
27	dueños
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Telefónica	PROPN	2	nsubj
2	llegó	VERB	0	root
3	a	ADP	4	mark
4	proponer	VERB	2	xcomp
5	que	SCONJ	16	mark
6	la	DET	7	det
7	adquisición	NOUN	16	nsubj
8	de	ADP	11	case
9	la	DET	11	det
10	única	ADJ	11	amod
11	plataforma	NOUN	7	nmod
12	digital	ADJ	11	amod
13	terrestre	ADJ	11	amod
14	española	ADJ	11	amod
15	se	PRON	16	expl:pass
16	hiciera	VERB	4	ccomp
17	de	ADP	18	case
18	forma	NOUN	16	obl
19	gratuita	ADJ	18	amod
20	,	PUNCT	24	punct
21	lo	PRON	24	det
22	que	PRON	24	nsubj
23	fue	AUX	24	aux
24	rechazado	VERB	16	advcl
25	por	ADP	27	case
26	sus	DET	27	det
27	dueños	NOUN	24	obj
28	.	PUNCT	2	punct