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:
Nissan, según dijo, no tiene intención de cerrar la planta de Sunderland, la más productiva de Europa - - con 5.000 trabajadores - -, pero decidirá a finales de año si construye allí la nueva generación de coches Micra.
Postion	Tokenization
1	Nissan
2	,
3	según
4	dijo
5	,
6	no
7	tiene
8	intención
9	de
10	cerrar
11	la
12	planta
13	de
14	Sunderland
15	,
16	la
17	más
18	productiva
19	de
20	Europa
21	-
22	-
23	con
24	5.000
25	trabajadores
26	-
27	-
28	,
29	pero
30	decidirá
31	a
32	finales
33	de
34	año
35	si
36	construye
37	allí
38	la
39	nueva
40	generación
41	de
42	coches
43	Micra
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Nissan	PROPN	7	nsubj
2	,	PUNCT	4	punct
3	según	SCONJ	4	mark
4	dijo	VERB	7	advcl
5	,	PUNCT	4	punct
6	no	ADV	7	advmod
7	tiene	VERB	0	root
8	intención	NOUN	7	obj
9	de	ADP	10	mark
10	cerrar	VERB	8	acl
11	la	DET	12	det
12	planta	NOUN	10	obj
13	de	ADP	14	case
14	Sunderland	PROPN	12	nmod
15	,	PUNCT	18	punct
16	la	DET	18	det
17	más	ADV	18	advmod
18	productiva	ADJ	12	appos
19	de	ADP	20	case
20	Europa	PROPN	18	nmod
21	-	PUNCT	25	punct
22	-	PUNCT	25	punct
23	con	ADP	25	case
24	5.000	NUM	25	nummod
25	trabajadores	NOUN	18	nmod
26	-	PUNCT	25	punct
27	-	PUNCT	25	punct
28	,	PUNCT	30	punct
29	pero	CCONJ	30	cc
30	decidirá	VERB	7	conj
31	a	ADP	32	case
32	finales	NOUN	30	obl
33	de	ADP	34	case
34	año	NOUN	32	nmod
35	si	SCONJ	36	mark
36	construye	VERB	30	ccomp
37	allí	ADV	36	advmod
38	la	DET	40	det
39	nueva	ADJ	40	amod
40	generación	NOUN	36	obj
41	de	ADP	42	case
42	coches	NOUN	40	nmod
43	Micra	PROPN	42	appos
44	.	PUNCT	7	punct