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:
Empleados de Doimo, la empresa a la que el ayuntamiento ha encargado el informe de viabilidad de los aparcamientos, realizaban ayer una encuesta junto a la plaza del Pi de Can'Oriac.
Postion	Tokenization
1	Empleados
2	de
3	Doimo
4	,
5	la
6	empresa
7	a
8	la
9	que
10	el
11	ayuntamiento
12	ha
13	encargado
14	el
15	informe
16	de
17	viabilidad
18	de
19	los
20	aparcamientos
21	,
22	realizaban
23	ayer
24	una
25	encuesta
26	junto
27	a
28	la
29	plaza
30	del
31	Pi
32	de
33	Can'Oriac
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Empleados	NOUN	22	nsubj
2	de	ADP	3	case
3	Doimo	PROPN	1	nmod
4	,	PUNCT	6	punct
5	la	DET	6	det
6	empresa	NOUN	3	appos
7	a	ADP	9	case
8	la	DET	9	det
9	que	PRON	13	obj
10	el	DET	11	det
11	ayuntamiento	NOUN	13	nsubj
12	ha	AUX	13	aux
13	encargado	VERB	6	acl
14	el	DET	15	det
15	informe	NOUN	13	obj
16	de	ADP	17	case
17	viabilidad	NOUN	15	nmod
18	de	ADP	20	case
19	los	DET	20	det
20	aparcamientos	NOUN	17	nmod
21	,	PUNCT	6	punct
22	realizaban	VERB	0	root
23	ayer	ADV	22	advmod
24	una	DET	25	det
25	encuesta	NOUN	22	obj
26	junto	ADJ	29	case
27	a	ADP	26	fixed
28	la	DET	29	det
29	plaza	NOUN	22	obl
30	del	ADP	31	case
31	Pi	PROPN	29	nmod
32	de	ADP	33	case
33	Can'Oriac	PROPN	31	flat
34	.	PUNCT	22	punct