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:
La juez Suárez entiende que "tal anticipación no fue prevista" por el acusado cuando se iba a incorporar al paseo de Gràcia, ya que "no adoptó las medidas de atención exigibles", lo que "determinó que perdiera el control de su vehículo", atropellando a continuación a los tres menores que se dirigían a la escuela.
Postion	Tokenization
1	La
2	juez
3	Suárez
4	entiende
5	que
6	"
7	tal
8	anticipación
9	no
10	fue
11	prevista
12	"
13	por
14	el
15	acusado
16	cuando
17	se
18	iba
19	a
20	incorporar
21	al
22	paseo
23	de
24	Gràcia
25	,
26	ya
27	que
28	"
29	no
30	adoptó
31	las
32	medidas
33	de
34	atención
35	exigibles
36	"
37	,
38	lo
39	que
40	"
41	determinó
42	que
43	perdiera
44	el
45	control
46	de
47	su
48	vehículo
49	"
50	,
51	atropellando
52	a
53	continuación
54	a
55	los
56	tres
57	menores
58	que
59	se
60	dirigían
61	a
62	la
63	escuela
64	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	juez	NOUN	4	nsubj
3	Suárez	PROPN	2	appos
4	entiende	VERB	0	root
5	que	SCONJ	11	mark
6	"	PUNCT	11	punct
7	tal	DET	8	det
8	anticipación	NOUN	11	nsubj
9	no	ADV	11	advmod
10	fue	AUX	11	aux
11	prevista	VERB	4	ccomp
12	"	PUNCT	11	punct
13	por	ADP	15	case
14	el	DET	15	det
15	acusado	NOUN	11	obj
16	cuando	SCONJ	20	mark
17	se	PRON	20	expl:pv
18	iba	AUX	20	aux
19	a	ADP	20	mark
20	incorporar	VERB	11	advcl
21	al	ADP	22	case
22	paseo	NOUN	20	obl
23	de	ADP	24	case
24	Gràcia	PROPN	22	nmod
25	,	PUNCT	30	punct
26	ya	ADV	30	mark
27	que	SCONJ	26	fixed
28	"	PUNCT	30	punct
29	no	ADV	30	advmod
30	adoptó	VERB	4	advcl
31	las	DET	32	det
32	medidas	NOUN	30	obj
33	de	ADP	34	case
34	atención	NOUN	32	nmod
35	exigibles	ADJ	32	amod
36	"	PUNCT	30	punct
37	,	PUNCT	41	punct
38	lo	PRON	41	det
39	que	PRON	41	nsubj
40	"	PUNCT	41	punct
41	determinó	VERB	30	advcl
42	que	SCONJ	43	mark
43	perdiera	VERB	41	ccomp
44	el	DET	45	det
45	control	NOUN	43	obj
46	de	ADP	48	case
47	su	DET	48	det
48	vehículo	NOUN	45	nmod
49	"	PUNCT	41	punct
50	,	PUNCT	51	punct
51	atropellando	VERB	41	advcl
52	a	ADP	51	advmod
53	continuación	NOUN	52	fixed
54	a	ADP	60	mark
55	los	DET	60	det
56	tres	NUM	55	nummod
57	menores	ADJ	60	amod
58	que	PRON	60	nsubj
59	se	PRON	60	expl:pv
60	dirigían	VERB	51	ccomp
61	a	ADP	63	case
62	la	DET	63	det
63	escuela	NOUN	60	obl
64	.	PUNCT	4	punct