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:
Es mucho más fácil reubicar una instalación en unos terrenos amplios y con los proyectos sin realizar que en un área como Vall d'Hebron, junto a una ronda casi siempre colapsada y frente a una ciudad sanitaria con tanto movimiento de tráfico (ambulancias, coches y transportes públicos).
Postion	Tokenization
1	Es
2	mucho
3	más
4	fácil
5	reubicar
6	una
7	instalación
8	en
9	unos
10	terrenos
11	amplios
12	y
13	con
14	los
15	proyectos
16	sin
17	realizar
18	que
19	en
20	un
21	área
22	como
23	Vall
24	d'Hebron
25	,
26	junto
27	a
28	una
29	ronda
30	casi
31	siempre
32	colapsada
33	y
34	frente
35	a
36	una
37	ciudad
38	sanitaria
39	con
40	tanto
41	movimiento
42	de
43	tráfico
44	(
45	ambulancias
46	,
47	coches
48	y
49	transportes
50	públicos
51	)
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	4	cop
2	mucho	ADV	4	advmod
3	más	ADV	2	advmod
4	fácil	ADJ	0	root
5	reubicar	VERB	4	csubj
6	una	DET	7	det
7	instalación	NOUN	5	obj
8	en	ADP	10	case
9	unos	DET	10	det
10	terrenos	NOUN	5	obl
11	amplios	ADJ	10	amod
12	y	CCONJ	15	cc
13	con	ADP	15	case
14	los	DET	15	det
15	proyectos	NOUN	10	conj
16	sin	ADP	17	mark
17	realizar	VERB	15	acl
18	que	SCONJ	21	mark
19	en	ADP	21	case
20	un	DET	21	det
21	área	NOUN	4	obl
22	como	SCONJ	23	mark
23	Vall	PROPN	21	nmod
24	d'Hebron	PROPN	23	flat
25	,	PUNCT	29	punct
26	junto	ADJ	29	case
27	a	ADP	26	fixed
28	una	DET	29	det
29	ronda	NOUN	21	nmod
30	casi	ADV	31	advmod
31	siempre	ADV	32	advmod
32	colapsada	ADJ	29	amod
33	y	CCONJ	37	cc
34	frente	NOUN	37	case
35	a	ADP	34	fixed
36	una	DET	37	det
37	ciudad	NOUN	29	conj
38	sanitaria	ADJ	37	amod
39	con	ADP	41	case
40	tanto	DET	41	det
41	movimiento	NOUN	21	nmod
42	de	ADP	43	case
43	tráfico	NOUN	41	nmod
44	(	PUNCT	45	punct
45	ambulancias	NOUN	43	appos
46	,	PUNCT	47	punct
47	coches	NOUN	45	conj
48	y	CCONJ	49	cc
49	transportes	NOUN	45	conj
50	públicos	ADJ	49	amod
51	)	PUNCT	45	punct
52	.	PUNCT	4	punct