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 compañía cuenta con almacenes en Barcelona, Madrid, Guipúzcoa, Valencia y Sevilla, y delegaciones en Lisboa, Oporto, Bayona y Perpinyà.
Postion	Tokenization
1	La
2	compañía
3	cuenta
4	con
5	almacenes
6	en
7	Barcelona
8	,
9	Madrid
10	,
11	Guipúzcoa
12	,
13	Valencia
14	y
15	Sevilla
16	,
17	y
18	delegaciones
19	en
20	Lisboa
21	,
22	Oporto
23	,
24	Bayona
25	y
26	Perpinyà
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	compañía	NOUN	3	nsubj
3	cuenta	VERB	0	root
4	con	ADP	5	case
5	almacenes	NOUN	3	obj
6	en	ADP	7	case
7	Barcelona	PROPN	3	obl
8	,	PUNCT	9	punct
9	Madrid	PROPN	7	conj
10	,	PUNCT	11	punct
11	Guipúzcoa	PROPN	7	conj
12	,	PUNCT	13	punct
13	Valencia	PROPN	7	conj
14	y	CCONJ	15	cc
15	Sevilla	PROPN	7	conj
16	,	PUNCT	18	punct
17	y	CCONJ	18	cc
18	delegaciones	NOUN	3	conj
19	en	ADP	20	case
20	Lisboa	PROPN	18	nmod
21	,	PUNCT	22	punct
22	Oporto	PROPN	20	conj
23	,	PUNCT	24	punct
24	Bayona	PROPN	20	conj
25	y	CCONJ	26	cc
26	Perpinyà	PROPN	20	conj
27	.	PUNCT	3	punct