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:
Pero también es cierto, como decía mi madre, que hay hombres que deberían ser fundidos y hechos de nuevo.
Postion	Tokenization
1	Pero
2	también
3	es
4	cierto
5	,
6	como
7	decía
8	mi
9	madre
10	,
11	que
12	hay
13	hombres
14	que
15	deberían
16	ser
17	fundidos
18	y
19	hechos
20	de
21	nuevo
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	4	advmod
2	también	ADV	4	advmod
3	es	AUX	4	cop
4	cierto	ADJ	0	root
5	,	PUNCT	7	punct
6	como	SCONJ	7	mark
7	decía	VERB	4	advcl
8	mi	DET	9	det
9	madre	NOUN	7	nsubj
10	,	PUNCT	7	punct
11	que	SCONJ	12	mark
12	hay	AUX	4	csubj
13	hombres	NOUN	12	obj
14	que	PRON	17	nsubj
15	deberían	AUX	17	aux
16	ser	AUX	17	aux
17	fundidos	VERB	13	acl
18	y	CCONJ	19	cc
19	hechos	VERB	17	conj
20	de	ADP	19	advmod
21	nuevo	ADJ	20	fixed
22	.	PUNCT	4	punct