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:
Los responsables del proyecto son conscientes de que los conductores se familiarizarán pronto con las cámaras, conocerán su localización y disminuirán la velocidad a su paso.
Postion	Tokenization
1	Los
2	responsables
3	del
4	proyecto
5	son
6	conscientes
7	de
8	que
9	los
10	conductores
11	se
12	familiarizarán
13	pronto
14	con
15	las
16	cámaras
17	,
18	conocerán
19	su
20	localización
21	y
22	disminuirán
23	la
24	velocidad
25	a
26	su
27	paso
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	responsables	NOUN	6	nsubj
3	del	ADP	4	case
4	proyecto	NOUN	2	nmod
5	son	AUX	6	cop
6	conscientes	ADJ	0	root
7	de	ADP	12	mark
8	que	SCONJ	12	mark
9	los	DET	10	det
10	conductores	NOUN	12	nsubj
11	se	PRON	12	obj
12	familiarizarán	VERB	6	acl
13	pronto	ADV	12	advmod
14	con	ADP	16	case
15	las	DET	16	det
16	cámaras	NOUN	12	obj
17	,	PUNCT	18	punct
18	conocerán	VERB	12	advcl
19	su	DET	20	det
20	localización	NOUN	18	obj
21	y	CCONJ	22	cc
22	disminuirán	VERB	12	conj
23	la	DET	24	det
24	velocidad	NOUN	22	obj
25	a	ADP	27	case
26	su	DET	27	det
27	paso	NOUN	22	obl
28	.	PUNCT	6	punct