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:
En este sentido, Cándido Méndez criticó duramente ayer las manifestaciones del presidente de la CEOE, José María Cuevas, que pedía un cambio en el sistema de pensiones y la libre fijación de los conceptos salariales.
Postion	Tokenization
1	En
2	este
3	sentido
4	,
5	Cándido
6	Méndez
7	criticó
8	duramente
9	ayer
10	las
11	manifestaciones
12	del
13	presidente
14	de
15	la
16	CEOE
17	,
18	José
19	María
20	Cuevas
21	,
22	que
23	pedía
24	un
25	cambio
26	en
27	el
28	sistema
29	de
30	pensiones
31	y
32	la
33	libre
34	fijación
35	de
36	los
37	conceptos
38	salariales
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	sentido	NOUN	7	obl
4	,	PUNCT	3	punct
5	Cándido	PROPN	7	nsubj
6	Méndez	PROPN	5	flat
7	criticó	VERB	0	root
8	duramente	ADV	7	advmod
9	ayer	ADV	7	advmod
10	las	DET	11	det
11	manifestaciones	NOUN	7	obj
12	del	ADP	13	case
13	presidente	NOUN	11	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	CEOE	PROPN	13	nmod
17	,	PUNCT	18	punct
18	José	PROPN	13	appos
19	María	PROPN	18	flat
20	Cuevas	PROPN	18	flat
21	,	PUNCT	18	punct
22	que	PRON	23	nsubj
23	pedía	VERB	13	acl
24	un	DET	25	det
25	cambio	NOUN	23	obj
26	en	ADP	28	case
27	el	DET	28	det
28	sistema	NOUN	25	nmod
29	de	ADP	30	case
30	pensiones	NOUN	28	nmod
31	y	CCONJ	34	cc
32	la	DET	34	det
33	libre	ADJ	34	amod
34	fijación	NOUN	25	conj
35	de	ADP	37	case
36	los	DET	37	det
37	conceptos	NOUN	34	nmod
38	salariales	ADJ	37	amod
39	.	PUNCT	7	punct