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:
Según Manuela de Madre, "podemos dar tranquilidad, hacer de bisagra y también aportaremos lo que creo que aportará casi todo el mundo: voluntad, rigor, sensatez y ganas de resolver los problemas".
Postion	Tokenization
1	Según
2	Manuela
3	de
4	Madre
5	,
6	"
7	podemos
8	dar
9	tranquilidad
10	,
11	hacer
12	de
13	bisagra
14	y
15	también
16	aportaremos
17	lo
18	que
19	creo
20	que
21	aportará
22	casi
23	todo
24	el
25	mundo
26	:
27	voluntad
28	,
29	rigor
30	,
31	sensatez
32	y
33	ganas
34	de
35	resolver
36	los
37	problemas
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Manuela	PROPN	8	obl
3	de	ADP	4	case
4	Madre	PROPN	2	flat
5	,	PUNCT	2	punct
6	"	PUNCT	8	punct
7	podemos	AUX	8	aux
8	dar	VERB	0	root
9	tranquilidad	NOUN	8	obj
10	,	PUNCT	11	punct
11	hacer	VERB	8	advcl
12	de	ADP	13	case
13	bisagra	NOUN	11	obj
14	y	CCONJ	16	cc
15	también	ADV	16	advmod
16	aportaremos	VERB	8	conj
17	lo	PRON	19	det
18	que	PRON	19	iobj
19	creo	VERB	16	ccomp
20	que	SCONJ	21	mark
21	aportará	VERB	19	ccomp
22	casi	ADV	24	advmod
23	todo	DET	24	det
24	el	DET	25	det
25	mundo	NOUN	21	nsubj
26	:	PUNCT	27	punct
27	voluntad	NOUN	19	iobj
28	,	PUNCT	29	punct
29	rigor	NOUN	27	conj
30	,	PUNCT	31	punct
31	sensatez	NOUN	27	conj
32	y	CCONJ	33	cc
33	ganas	NOUN	27	conj
34	de	ADP	35	mark
35	resolver	VERB	33	acl
36	los	DET	37	det
37	problemas	NOUN	35	obj
38	"	PUNCT	8	punct
39	.	PUNCT	8	punct