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:
Además, España cuenta con 3.200 empresas alimentarias con más de 10 trabajadores, "lo que supone un exceso de capacidad instalada que hace la competencia todavía más dura", apuntó Jordana.
Postion	Tokenization
1	Además
2	,
3	España
4	cuenta
5	con
6	3.200
7	empresas
8	alimentarias
9	con
10	más
11	de
12	10
13	trabajadores
14	,
15	"
16	lo
17	que
18	supone
19	un
20	exceso
21	de
22	capacidad
23	instalada
24	que
25	hace
26	la
27	competencia
28	todavía
29	más
30	dura
31	"
32	,
33	apuntó
34	Jordana
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	advmod
2	,	PUNCT	1	punct
3	España	PROPN	4	nsubj
4	cuenta	VERB	33	ccomp
5	con	ADP	7	case
6	3.200	NUM	7	nummod
7	empresas	NOUN	4	obj
8	alimentarias	ADJ	7	amod
9	con	ADP	10	case
10	más	ADV	7	advmod
11	de	ADP	13	case
12	10	NUM	13	nummod
13	trabajadores	NOUN	10	obl
14	,	PUNCT	18	punct
15	"	PUNCT	18	punct
16	lo	PRON	18	det
17	que	PRON	18	nsubj
18	supone	VERB	4	advcl
19	un	DET	20	det
20	exceso	NOUN	18	obj
21	de	ADP	22	case
22	capacidad	NOUN	20	nmod
23	instalada	ADJ	22	amod
24	que	PRON	25	nsubj
25	hace	VERB	20	acl
26	la	DET	27	det
27	competencia	NOUN	25	obj
28	todavía	ADV	30	advmod
29	más	ADV	28	advmod
30	dura	ADJ	25	obj
31	"	PUNCT	4	punct
32	,	PUNCT	4	punct
33	apuntó	VERB	0	root
34	Jordana	PROPN	33	nsubj
35	.	PUNCT	33	punct