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:
En la sexta planta, salen a saludar lemas como témpanos: Viva, respire y duerma los negocios; Amontone dinero viendo la televisión; Conozca la respuesta antes de que nadie sepa la pregunta.
Postion	Tokenization
1	En
2	la
3	sexta
4	planta
5	,
6	salen
7	a
8	saludar
9	lemas
10	como
11	témpanos
12	:
13	Viva
14	,
15	respire
16	y
17	duerma
18	los
19	negocios
20	;
21	Amontone
22	dinero
23	viendo
24	la
25	televisión
26	;
27	Conozca
28	la
29	respuesta
30	antes
31	de
32	que
33	nadie
34	sepa
35	la
36	pregunta
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	la	DET	4	det
3	sexta	ADJ	4	amod
4	planta	NOUN	6	obl
5	,	PUNCT	4	punct
6	salen	VERB	0	root
7	a	ADP	8	mark
8	saludar	VERB	6	advcl
9	lemas	NOUN	6	nsubj
10	como	SCONJ	11	mark
11	témpanos	NOUN	9	nmod
12	:	PUNCT	13	punct
13	Viva	PROPN	9	appos
14	,	PUNCT	15	punct
15	respire	PROPN	13	conj
16	y	CCONJ	17	cc
17	duerma	PROPN	13	conj
18	los	DET	19	det
19	negocios	PROPN	13	flat
20	;	PUNCT	21	punct
21	Amontone	PROPN	13	conj
22	dinero	PROPN	21	flat
23	viendo	PROPN	21	flat
24	la	DET	25	det
25	televisión	PROPN	21	flat
26	;	PUNCT	27	punct
27	Conozca	PROPN	13	conj
28	la	DET	29	det
29	respuesta	PROPN	27	flat
30	antes	ADV	29	flat
31	de	ADP	33	case
32	que	SCONJ	33	case
33	nadie	PROPN	29	flat
34	sepa	PROPN	29	flat
35	la	DET	36	det
36	pregunta	PROPN	29	flat
37	.	PUNCT	6	punct