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:
Un soldador que no deje de la Susi ni una pata de gallo y así podré pedirle a doña Carmen Alborch que me financie una reconstrucción completa, rápida y divina.
Postion	Tokenization
1	Un
2	soldador
3	que
4	no
5	deje
6	de
7	la
8	Susi
9	ni
10	una
11	pata
12	de
13	gallo
14	y
15	así
16	podré
17	pedirle
18	pedir
19	le
20	a
21	doña
22	Carmen
23	Alborch
24	que
25	me
26	financie
27	una
28	reconstrucción
29	completa
30	,
31	rápida
32	y
33	divina
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	soldador	NOUN	0	root
3	que	PRON	5	nsubj
4	no	ADV	5	advmod
5	deje	VERB	2	acl
6	de	ADP	8	case
7	la	DET	8	det
8	Susi	PROPN	5	obl
9	ni	ADV	11	advmod
10	una	DET	11	det
11	pata	NOUN	5	obj
12	de	ADP	13	case
13	gallo	NOUN	11	nmod
14	y	CCONJ	17	cc
15	así	ADV	17	advmod
16	podré	AUX	17	aux
17	pedirle	_	None	_
18	pedir	VERB	2	conj
19	le	PRON	17	obj
20	a	ADP	21	case
21	doña	NOUN	17	iobj
22	Carmen	PROPN	20	flat
23	Alborch	PROPN	21	flat
24	que	SCONJ	25	mark
25	me	PRON	25	iobj
26	financie	VERB	17	ccomp
27	una	DET	27	det
28	reconstrucción	NOUN	25	obj
29	completa	ADJ	27	amod
30	,	PUNCT	30	punct
31	rápida	ADJ	28	conj
32	y	CCONJ	32	cc
33	divina	ADJ	28	conj
34	.	PUNCT	2	punct