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:
"Se habla de lo que ocurre con trabajadores y trabajadoras de las grandes empresas, firmas que como tienen recursos económicos buscan buenos acuerdos para prejubilar y jubilar anticipadamente", dijo Méndez, quien señaló que los empleados de las pequeñas y medianas empresas "son los grandes olvidados".
Postion	Tokenization
1	"
2	Se
3	habla
4	de
5	lo
6	que
7	ocurre
8	con
9	trabajadores
10	y
11	trabajadoras
12	de
13	las
14	grandes
15	empresas
16	,
17	firmas
18	que
19	como
20	tienen
21	recursos
22	económicos
23	buscan
24	buenos
25	acuerdos
26	para
27	prejubilar
28	y
29	jubilar
30	anticipadamente
31	"
32	,
33	dijo
34	Méndez
35	,
36	quien
37	señaló
38	que
39	los
40	empleados
41	de
42	las
43	pequeñas
44	y
45	medianas
46	empresas
47	"
48	son
49	los
50	grandes
51	olvidados
52	"
53	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Se	PRON	3	expl:impers
3	habla	VERB	33	ccomp
4	de	ADP	7	mark
5	lo	PRON	7	det
6	que	PRON	7	nsubj
7	ocurre	VERB	3	ccomp
8	con	ADP	9	case
9	trabajadores	NOUN	7	obl
10	y	CCONJ	11	cc
11	trabajadoras	ADJ	9	conj
12	de	ADP	15	case
13	las	DET	15	det
14	grandes	ADJ	15	amod
15	empresas	NOUN	9	nmod
16	,	PUNCT	17	punct
17	firmas	NOUN	15	appos
18	que	PRON	23	nsubj
19	como	SCONJ	20	mark
20	tienen	VERB	23	advcl
21	recursos	NOUN	20	obj
22	económicos	ADJ	21	amod
23	buscan	VERB	17	acl
24	buenos	ADJ	25	amod
25	acuerdos	NOUN	23	obj
26	para	ADP	27	mark
27	prejubilar	VERB	23	advcl
28	y	CCONJ	29	cc
29	jubilar	VERB	27	conj
30	anticipadamente	ADV	29	advmod
31	"	PUNCT	3	punct
32	,	PUNCT	3	punct
33	dijo	VERB	0	root
34	Méndez	PROPN	33	nsubj
35	,	PUNCT	37	punct
36	quien	PRON	37	nsubj
37	señaló	VERB	34	acl
38	que	SCONJ	51	mark
39	los	DET	40	det
40	empleados	NOUN	51	nsubj
41	de	ADP	46	case
42	las	DET	46	det
43	pequeñas	ADJ	46	amod
44	y	CCONJ	45	cc
45	medianas	ADJ	43	conj
46	empresas	NOUN	40	nmod
47	"	PUNCT	51	punct
48	son	AUX	51	cop
49	los	DET	51	det
50	grandes	ADJ	51	amod
51	olvidados	ADJ	37	ccomp
52	"	PUNCT	51	punct
53	.	PUNCT	33	punct