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:
Asimismo, cree que las ayudas de la UE habría que dejar de vincularlas a proyectos concretos, y entregarlas en bruto a los países para evitar así "engaños" burocráticos.
Postion	Tokenization
1	Asimismo
2	,
3	cree
4	que
5	las
6	ayudas
7	de
8	la
9	UE
10	habría
11	que
12	dejar
13	de
14	vincularlas
15	vincular
16	las
17	a
18	proyectos
19	concretos
20	,
21	y
22	entregarlas
23	entregar
24	las
25	en
26	bruto
27	a
28	los
29	países
30	para
31	evitar
32	así
33	"
34	engaños
35	"
36	burocráticos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	3	advmod
2	,	PUNCT	1	punct
3	cree	VERB	0	root
4	que	SCONJ	12	mark
5	las	DET	6	det
6	ayudas	NOUN	14	obj
7	de	ADP	9	case
8	la	DET	9	det
9	UE	PROPN	6	nmod
10	habría	AUX	3	ccomp
11	que	SCONJ	12	cc
12	dejar	VERB	10	conj
13	de	ADP	14	mark
14	vincularlas	_	None	_
15	vincular	VERB	12	xcomp
16	las	PRON	14	obj
17	a	ADP	17	case
18	proyectos	NOUN	14	obj
19	concretos	ADJ	17	amod
20	,	PUNCT	21	punct
21	y	CCONJ	21	cc
22	entregarlas	_	None	_
23	entregar	VERB	10	conj
24	las	PRON	21	obj
25	en	ADP	24	case
26	bruto	ADJ	21	advmod
27	a	ADP	27	case
28	los	DET	27	det
29	países	NOUN	21	obj
30	para	ADP	29	mark
31	evitar	VERB	21	advcl
32	así	ADV	29	advmod
33	"	PUNCT	32	punct
34	engaños	NOUN	29	obj
35	"	PUNCT	32	punct
36	burocráticos	ADJ	32	amod
37	.	PUNCT	3	punct