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:
Añadió que esta situación permitirá a España abrir la competencia a operadores de servicios móviles que utilicen la red de otras empresas de telecomunicaciones con licencias de móvil antes que en Europa.
Postion	Tokenization
1	Añadió
2	que
3	esta
4	situación
5	permitirá
6	a
7	España
8	abrir
9	la
10	competencia
11	a
12	operadores
13	de
14	servicios
15	móviles
16	que
17	utilicen
18	la
19	red
20	de
21	otras
22	empresas
23	de
24	telecomunicaciones
25	con
26	licencias
27	de
28	móvil
29	antes
30	que
31	en
32	Europa
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Añadió	VERB	0	root
2	que	SCONJ	5	mark
3	esta	DET	4	det
4	situación	NOUN	5	nsubj
5	permitirá	VERB	1	ccomp
6	a	ADP	7	case
7	España	PROPN	5	iobj
8	abrir	VERB	5	xcomp
9	la	DET	10	det
10	competencia	NOUN	8	obj
11	a	ADP	12	case
12	operadores	NOUN	8	obj
13	de	ADP	14	case
14	servicios	NOUN	12	nmod
15	móviles	ADJ	14	amod
16	que	PRON	17	nsubj
17	utilicen	VERB	12	acl
18	la	DET	19	det
19	red	NOUN	17	obj
20	de	ADP	22	case
21	otras	DET	22	det
22	empresas	NOUN	19	nmod
23	de	ADP	24	case
24	telecomunicaciones	NOUN	22	nmod
25	con	ADP	26	case
26	licencias	NOUN	22	nmod
27	de	ADP	28	case
28	móvil	NOUN	26	nmod
29	antes	ADV	17	advmod
30	que	SCONJ	32	mark
31	en	ADP	32	case
32	Europa	PROPN	29	obl
33	.	PUNCT	1	punct