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:
When I arrived at Brickell Honda on 6/4/11, I was greeted and attended to by the Sales Manager, Gustavo Guerra, in a very friendly and professional manner.
Postion	Tokenization
1	When
2	I
3	arrived
4	at
5	Brickell
6	Honda
7	on
8	6/4/11
9	,
10	I
11	was
12	greeted
13	and
14	attended
15	to
16	by
17	the
18	Sales
19	Manager
20	,
21	Gustavo
22	Guerra
23	,
24	in
25	a
26	very
27	friendly
28	and
29	professional
30	manner
31	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	3	mark
2	I	PRON	3	nsubj
3	arrived	VERB	12	advcl
4	at	ADP	6	case
5	Brickell	PROPN	6	compound
6	Honda	PROPN	3	obl
7	on	ADP	8	case
8	6/4/11	NUM	3	obl
9	,	PUNCT	12	punct
10	I	PRON	12	nsubj:pass
11	was	AUX	12	aux:pass
12	greeted	VERB	0	root
13	and	CCONJ	14	cc
14	attended	VERB	12	conj
15	to	ADP	14	obl
16	by	ADP	19	case
17	the	DET	19	det
18	Sales	NOUN	19	compound
19	Manager	NOUN	12	obl
20	,	PUNCT	19	punct
21	Gustavo	PROPN	19	appos
22	Guerra	PROPN	21	flat
23	,	PUNCT	12	punct
24	in	ADP	30	case
25	a	DET	30	det
26	very	ADV	27	advmod
27	friendly	ADJ	30	amod
28	and	CCONJ	29	cc
29	professional	ADJ	27	conj
30	manner	NOUN	12	obl
31	.	PUNCT	12	punct