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:
Unas 400 personas de ayuntamientos de toda España participan del día 3 al 5 en Blanes en unas jornadas para aplicar las nuevas tecnologías en la Administración local.
Postion	Tokenization
1	Unas
2	400
3	personas
4	de
5	ayuntamientos
6	de
7	toda
8	España
9	participan
10	del
11	día
12	3
13	al
14	5
15	en
16	Blanes
17	en
18	unas
19	jornadas
20	para
21	aplicar
22	las
23	nuevas
24	tecnologías
25	en
26	la
27	Administración
28	local
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Unas	PRON	2	nmod
2	400	NUM	3	nummod
3	personas	NOUN	9	nsubj
4	de	ADP	5	case
5	ayuntamientos	NOUN	3	nmod
6	de	ADP	8	case
7	toda	DET	8	det
8	España	PROPN	5	nmod
9	participan	VERB	0	root
10	del	ADP	11	case
11	día	NOUN	9	obl
12	3	NUM	11	compound
13	al	ADP	14	cc
14	5	NUM	11	conj
15	en	ADP	16	case
16	Blanes	PROPN	9	obl
17	en	ADP	19	case
18	unas	DET	19	det
19	jornadas	NOUN	9	obj
20	para	ADP	21	mark
21	aplicar	VERB	9	advcl
22	las	DET	24	det
23	nuevas	ADJ	24	amod
24	tecnologías	NOUN	21	obj
25	en	ADP	27	case
26	la	DET	27	det
27	Administración	PROPN	21	obl
28	local	ADJ	27	amod
29	.	PUNCT	9	punct