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:
Los expertos creen que Nissan puede desviar la producción de Micra a la planta que Renault posee en Barcelona, dado que la firma francesa es propietaria del 36,8% de las acciones del grupo.
Postion	Tokenization
1	Los
2	expertos
3	creen
4	que
5	Nissan
6	puede
7	desviar
8	la
9	producción
10	de
11	Micra
12	a
13	la
14	planta
15	que
16	Renault
17	posee
18	en
19	Barcelona
20	,
21	dado
22	que
23	la
24	firma
25	francesa
26	es
27	propietaria
28	del
29	36,8%
30	de
31	las
32	acciones
33	del
34	grupo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	expertos	NOUN	3	nsubj
3	creen	VERB	0	root
4	que	SCONJ	7	mark
5	Nissan	PROPN	7	nsubj
6	puede	AUX	7	aux
7	desviar	VERB	3	xcomp
8	la	DET	9	det
9	producción	NOUN	7	obj
10	de	ADP	11	case
11	Micra	PROPN	9	nmod
12	a	ADP	14	case
13	la	DET	14	det
14	planta	NOUN	7	obl
15	que	PRON	17	obj
16	Renault	PROPN	17	nsubj
17	posee	VERB	14	acl
18	en	ADP	19	case
19	Barcelona	PROPN	17	obl
20	,	PUNCT	27	punct
21	dado	NOUN	27	mark
22	que	SCONJ	21	fixed
23	la	DET	24	det
24	firma	NOUN	27	nsubj
25	francesa	ADJ	24	amod
26	es	AUX	27	cop
27	propietaria	ADJ	3	advcl
28	del	ADP	29	case
29	36,8%	SYM	27	nmod
30	de	ADP	32	case
31	las	DET	32	det
32	acciones	NOUN	29	nmod
33	del	ADP	34	case
34	grupo	NOUN	32	nmod
35	.	PUNCT	3	punct