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:
El president aseguró que este concepto "no rompe el Pacto de Toledo" porque no va contra la igualdad entre pensionistas ni afecta a los recursos de la caja única de la Seguridad Social.
Postion	Tokenization
1	El
2	president
3	aseguró
4	que
5	este
6	concepto
7	"
8	no
9	rompe
10	el
11	Pacto
12	de
13	Toledo
14	"
15	porque
16	no
17	va
18	contra
19	la
20	igualdad
21	entre
22	pensionistas
23	ni
24	afecta
25	a
26	los
27	recursos
28	de
29	la
30	caja
31	única
32	de
33	la
34	Seguridad
35	Social
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	president	NOUN	3	nsubj
3	aseguró	VERB	0	root
4	que	SCONJ	9	mark
5	este	DET	6	det
6	concepto	NOUN	9	nsubj
7	"	PUNCT	9	punct
8	no	ADV	9	advmod
9	rompe	VERB	3	ccomp
10	el	DET	11	det
11	Pacto	PROPN	9	obj
12	de	ADP	13	case
13	Toledo	PROPN	11	flat
14	"	PUNCT	9	punct
15	porque	SCONJ	17	mark
16	no	ADV	17	advmod
17	va	VERB	9	advcl
18	contra	ADP	20	case
19	la	DET	20	det
20	igualdad	NOUN	17	obj
21	entre	ADP	22	case
22	pensionistas	NOUN	20	nmod
23	ni	CCONJ	24	cc
24	afecta	VERB	17	conj
25	a	ADP	27	case
26	los	DET	27	det
27	recursos	NOUN	24	obj
28	de	ADP	30	case
29	la	DET	30	det
30	caja	NOUN	27	nmod
31	única	ADJ	30	amod
32	de	ADP	34	case
33	la	DET	34	det
34	Seguridad	PROPN	30	nmod
35	Social	PROPN	34	flat
36	.	PUNCT	3	punct