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 empresa tiene planes para abrir una nueva galería en Zurich en marzo próximo, que celebraría cuatro exposiciones al año, según el diario.
Postion	Tokenization
1	La
2	empresa
3	tiene
4	planes
5	para
6	abrir
7	una
8	nueva
9	galería
10	en
11	Zurich
12	en
13	marzo
14	próximo
15	,
16	que
17	celebraría
18	cuatro
19	exposiciones
20	al
21	año
22	,
23	según
24	el
25	diario
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	empresa	NOUN	3	nsubj
3	tiene	VERB	0	root
4	planes	NOUN	3	obj
5	para	ADP	6	mark
6	abrir	VERB	4	acl
7	una	DET	9	det
8	nueva	ADJ	9	amod
9	galería	NOUN	6	obj
10	en	ADP	11	case
11	Zurich	PROPN	6	obl
12	en	ADP	13	case
13	marzo	NOUN	6	obl
14	próximo	ADJ	13	amod
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	celebraría	VERB	9	acl
18	cuatro	NUM	19	nummod
19	exposiciones	NOUN	17	obj
20	al	ADP	21	case
21	año	NOUN	17	obl
22	,	PUNCT	25	punct
23	según	ADP	25	case
24	el	DET	25	det
25	diario	NOUN	3	obl
26	.	PUNCT	3	punct