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:
Mari Carmen Soler, portavoz de los trabajadores, afirmó que "el papel de los empleados en busca de soluciones ha sido fundamental".
Postion	Tokenization
1	Mari
2	Carmen
3	Soler
4	,
5	portavoz
6	de
7	los
8	trabajadores
9	,
10	afirmó
11	que
12	"
13	el
14	papel
15	de
16	los
17	empleados
18	en
19	busca
20	de
21	soluciones
22	ha
23	sido
24	fundamental
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Mari	PROPN	10	nsubj
2	Carmen	PROPN	1	flat
3	Soler	PROPN	1	flat
4	,	PUNCT	5	punct
5	portavoz	NOUN	1	appos
6	de	ADP	8	case
7	los	DET	8	det
8	trabajadores	NOUN	5	nmod
9	,	PUNCT	5	punct
10	afirmó	VERB	0	root
11	que	SCONJ	24	mark
12	"	PUNCT	24	punct
13	el	DET	14	det
14	papel	NOUN	24	nsubj
15	de	ADP	17	case
16	los	DET	17	det
17	empleados	NOUN	14	nmod
18	en	ADP	19	case
19	busca	NOUN	14	nmod
20	de	ADP	21	case
21	soluciones	NOUN	19	nmod
22	ha	AUX	24	aux
23	sido	AUX	24	cop
24	fundamental	ADJ	10	ccomp
25	"	PUNCT	24	punct
26	.	PUNCT	10	punct