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:
Desde su filial en España, Telia Iberia ofrecerá a las empresas sus servicios de conexión con internet, así como la venta a operadores privados de espacios para trasmisión de datos y voz.
Postion	Tokenization
1	Desde
2	su
3	filial
4	en
5	España
6	,
7	Telia
8	Iberia
9	ofrecerá
10	a
11	las
12	empresas
13	sus
14	servicios
15	de
16	conexión
17	con
18	internet
19	,
20	así
21	como
22	la
23	venta
24	a
25	operadores
26	privados
27	de
28	espacios
29	para
30	trasmisión
31	de
32	datos
33	y
34	voz
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	su	DET	3	det
3	filial	NOUN	9	obl
4	en	ADP	5	case
5	España	PROPN	3	nmod
6	,	PUNCT	3	punct
7	Telia	PROPN	9	nsubj
8	Iberia	PROPN	7	flat
9	ofrecerá	VERB	0	root
10	a	ADP	12	case
11	las	DET	12	det
12	empresas	NOUN	9	obj
13	sus	DET	14	det
14	servicios	NOUN	9	obj
15	de	ADP	16	case
16	conexión	NOUN	14	nmod
17	con	ADP	18	case
18	internet	PROPN	16	nmod
19	,	PUNCT	23	punct
20	así	ADV	23	cc
21	como	SCONJ	20	fixed
22	la	DET	23	det
23	venta	NOUN	14	conj
24	a	ADP	25	case
25	operadores	NOUN	23	nmod
26	privados	ADJ	25	amod
27	de	ADP	28	case
28	espacios	NOUN	23	nmod
29	para	ADP	30	case
30	trasmisión	NOUN	28	nmod
31	de	ADP	32	case
32	datos	NOUN	30	nmod
33	y	CCONJ	34	cc
34	voz	NOUN	32	conj
35	.	PUNCT	9	punct