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, ha añadido que "nuestros pasivos ya no tienen esa angustia, porque saben cómo gobierna el PP, que no quita las pensiones, sino que, y esto sí que molesta muchísimo a nuestros adversarios, no se puede citar ni un solo ejemplo en el que el PP haya reducido, bajado, recortado o quitado protección social".
Postion	Tokenization
1	En
2	este
3	sentido
4	,
5	ha
6	añadido
7	que
8	"
9	nuestros
10	pasivos
11	ya
12	no
13	tienen
14	esa
15	angustia
16	,
17	porque
18	saben
19	cómo
20	gobierna
21	el
22	PP
23	,
24	que
25	no
26	quita
27	las
28	pensiones
29	,
30	sino
31	que
32	,
33	y
34	esto
35	sí
36	que
37	molesta
38	muchísimo
39	a
40	nuestros
41	adversarios
42	,
43	no
44	se
45	puede
46	citar
47	ni
48	un
49	solo
50	ejemplo
51	en
52	el
53	que
54	el
55	PP
56	haya
57	reducido
58	,
59	bajado
60	,
61	recortado
62	o
63	quitado
64	protección
65	social
66	"
67	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	sentido	NOUN	6	obl
4	,	PUNCT	3	punct
5	ha	AUX	6	aux
6	añadido	VERB	0	root
7	que	SCONJ	13	mark
8	"	PUNCT	13	punct
9	nuestros	DET	10	det
10	pasivos	NOUN	13	nsubj
11	ya	ADV	13	advmod
12	no	ADV	13	advmod
13	tienen	VERB	6	ccomp
14	esa	DET	15	det
15	angustia	NOUN	13	obj
16	,	PUNCT	18	punct
17	porque	SCONJ	18	mark
18	saben	VERB	13	advcl
19	cómo	PRON	20	obl
20	gobierna	VERB	18	ccomp
21	el	DET	22	det
22	PP	PROPN	20	nsubj
23	,	PUNCT	20	punct
24	que	PRON	26	nsubj
25	no	ADV	26	advmod
26	quita	VERB	20	advcl
27	las	DET	28	det
28	pensiones	NOUN	26	obj
29	,	PUNCT	46	punct
30	sino	CCONJ	46	cc
31	que	SCONJ	30	fixed
32	,	PUNCT	37	punct
33	y	CCONJ	37	advmod
34	esto	PRON	37	nsubj
35	sí	INTJ	37	advcl
36	que	SCONJ	35	fixed
37	molesta	VERB	46	parataxis
38	muchísimo	ADV	37	advmod
39	a	ADP	41	case
40	nuestros	DET	41	det
41	adversarios	NOUN	37	obj
42	,	PUNCT	37	punct
43	no	ADV	46	advmod
44	se	PRON	46	expl:pass
45	puede	AUX	46	aux
46	citar	VERB	26	conj
47	ni	ADV	50	advmod
48	un	DET	50	det
49	solo	ADJ	50	amod
50	ejemplo	NOUN	46	nsubj
51	en	ADP	53	case
52	el	DET	53	det
53	que	PRON	57	obl
54	el	DET	55	det
55	PP	PROPN	57	nsubj
56	haya	AUX	57	aux
57	reducido	VERB	50	acl
58	,	PUNCT	59	punct
59	bajado	VERB	57	advcl
60	,	PUNCT	61	punct
61	recortado	VERB	57	advcl
62	o	CCONJ	63	cc
63	quitado	VERB	57	conj
64	protección	NOUN	57	obj
65	social	ADJ	64	amod
66	"	PUNCT	13	punct
67	.	PUNCT	6	punct