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:
Telía adquirió en 1999 a su subsidiaria española, que pasó a llamarse Telia Iberia, con un mercado que, además de España, incluye a Portugal.
Postion	Tokenization
1	Telía
2	adquirió
3	en
4	1999
5	a
6	su
7	subsidiaria
8	española
9	,
10	que
11	pasó
12	a
13	llamarse
14	llamar
15	se
16	Telia
17	Iberia
18	,
19	con
20	un
21	mercado
22	que
23	,
24	además
25	de
26	España
27	,
28	incluye
29	a
30	Portugal
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Telía	PROPN	2	nsubj
2	adquirió	VERB	0	root
3	en	ADP	4	case
4	1999	NOUN	2	obl
5	a	ADP	11	mark
6	su	PRON	11	nmod
7	subsidiaria	ADJ	11	amod
8	española	ADJ	11	amod
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	pasó	VERB	2	ccomp
12	a	ADP	13	mark
13	llamarse	_	None	_
14	llamar	VERB	11	advcl
15	se	PRON	13	expl:pv
16	Telia	PROPN	13	obj
17	Iberia	PROPN	15	flat
18	,	PUNCT	11	punct
19	con	ADP	20	case
20	un	DET	20	det
21	mercado	NOUN	11	obl
22	que	PRON	27	nsubj
23	,	PUNCT	25	punct
24	además	ADV	25	case
25	de	ADP	23	fixed
26	España	PROPN	27	obj
27	,	PUNCT	25	punct
28	incluye	VERB	20	acl
29	a	ADP	29	case
30	Portugal	PROPN	27	obj
31	.	PUNCT	2	punct