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:
Tampoco hay que recordar que en un año tan académico, ellas se han llevado el gato al agua bailando lo peor que sabían, riéndose a la cara de tanta pretendida profesionalidad.
Postion	Tokenization
1	Tampoco
2	hay
3	que
4	recordar
5	que
6	en
7	un
8	año
9	tan
10	académico
11	,
12	ellas
13	se
14	han
15	llevado
16	el
17	gato
18	al
19	agua
20	bailando
21	lo
22	peor
23	que
24	sabían
25	,
26	riéndose
27	riendo
28	se
29	a
30	la
31	cara
32	de
33	tanta
34	pretendida
35	profesionalidad
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Tampoco	ADV	4	advmod
2	hay	AUX	0	root
3	que	SCONJ	4	cc
4	recordar	VERB	2	conj
5	que	SCONJ	15	mark
6	en	ADP	8	case
7	un	DET	8	det
8	año	NOUN	15	obl
9	tan	ADV	10	advmod
10	académico	ADJ	8	amod
11	,	PUNCT	8	punct
12	ellas	PRON	15	nsubj
13	se	PRON	15	iobj
14	han	AUX	15	aux
15	llevado	VERB	4	ccomp
16	el	DET	15	compound
17	gato	VERB	15	compound
18	al	ADP	15	compound
19	agua	VERB	15	compound
20	bailando	VERB	15	advcl
21	lo	PRON	24	det
22	peor	ADJ	24	amod
23	que	PRON	24	obl
24	sabían	VERB	20	advcl
25	,	PUNCT	20	punct
26	riéndose	_	None	_
27	riendo	VERB	20	advcl
28	se	PRON	26	expl:pv
29	a	ADP	30	case
30	la	DET	30	det
31	cara	NOUN	26	obl
32	de	ADP	34	case
33	tanta	DET	34	det
34	pretendida	ADJ	34	amod
35	profesionalidad	NOUN	26	obj
36	.	PUNCT	2	punct