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:
El taxista contemplaba su negociación a distancia, con la sonrisa a medio camino entre una reflexión interior sobre la voluntad de fiesta del extranjero y el saludo al cliente de todas las mañanas.
Postion	Tokenization
1	El
2	taxista
3	contemplaba
4	su
5	negociación
6	a
7	distancia
8	,
9	con
10	la
11	sonrisa
12	a
13	medio
14	camino
15	entre
16	una
17	reflexión
18	interior
19	sobre
20	la
21	voluntad
22	de
23	fiesta
24	del
25	extranjero
26	y
27	el
28	saludo
29	al
30	cliente
31	de
32	todas
33	las
34	mañanas
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	taxista	NOUN	3	nsubj
3	contemplaba	VERB	0	root
4	su	DET	5	det
5	negociación	NOUN	3	obj
6	a	ADP	3	advmod
7	distancia	NOUN	6	fixed
8	,	PUNCT	6	punct
9	con	ADP	11	case
10	la	DET	11	det
11	sonrisa	NOUN	6	obl
12	a	ADP	14	case
13	medio	ADJ	14	amod
14	camino	NOUN	11	nmod
15	entre	ADP	17	case
16	una	DET	17	det
17	reflexión	NOUN	14	nmod
18	interior	ADJ	17	amod
19	sobre	ADP	21	case
20	la	DET	21	det
21	voluntad	NOUN	17	nmod
22	de	ADP	23	case
23	fiesta	NOUN	21	nmod
24	del	ADP	25	case
25	extranjero	NOUN	21	nmod
26	y	CCONJ	28	cc
27	el	DET	28	det
28	saludo	NOUN	17	conj
29	al	ADP	30	case
30	cliente	NOUN	28	nmod
31	de	ADP	34	case
32	todas	DET	33	det
33	las	DET	34	det
34	mañanas	NOUN	30	nmod
35	.	PUNCT	3	punct