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:
Además la madre no puede hacer mucho en cuanto al transporte, pues tiene que comer el doble de lo normal para producir suficiente leche.
Postion	Tokenization
1	Además
2	la
3	madre
4	no
5	puede
6	hacer
7	mucho
8	en
9	cuanto
10	al
11	transporte
12	,
13	pues
14	tiene
15	que
16	comer
17	el
18	doble
19	de
20	lo
21	normal
22	para
23	producir
24	suficiente
25	leche
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	6	advmod
2	la	DET	3	det
3	madre	NOUN	6	nsubj
4	no	ADV	6	advmod
5	puede	AUX	6	aux
6	hacer	VERB	0	root
7	mucho	ADV	6	obj
8	en	ADP	11	case
9	cuanto	NOUN	8	fixed
10	al	ADP	8	fixed
11	transporte	NOUN	6	obl
12	,	PUNCT	14	punct
13	pues	SCONJ	16	mark
14	tiene	VERB	6	advcl
15	que	SCONJ	16	cc
16	comer	VERB	14	conj
17	el	DET	18	det
18	doble	ADJ	16	obj
19	de	ADP	21	case
20	lo	PRON	21	det
21	normal	ADJ	18	amod
22	para	ADP	23	mark
23	producir	VERB	16	advcl
24	suficiente	ADJ	25	amod
25	leche	NOUN	23	obj
26	.	PUNCT	6	punct