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:
Pero no para pilotar aviones, en un principio, sino para echar un cable y hacer la existencia más fácil a gente parcial o totalmente impedida, como es el caso del doctor Meagher.
Postion	Tokenization
1	Pero
2	no
3	para
4	pilotar
5	aviones
6	,
7	en
8	un
9	principio
10	,
11	sino
12	para
13	echar
14	un
15	cable
16	y
17	hacer
18	la
19	existencia
20	más
21	fácil
22	a
23	gente
24	parcial
25	o
26	totalmente
27	impedida
28	,
29	como
30	es
31	el
32	caso
33	del
34	doctor
35	Meagher
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	0	root
2	no	ADV	1	advmod
3	para	ADP	1	mark
4	pilotar	VERB	1	dep
5	aviones	NOUN	4	obj
6	,	PUNCT	9	punct
7	en	ADP	9	case
8	un	DET	9	det
9	principio	NOUN	1	nmod
10	,	PUNCT	9	punct
11	sino	CCONJ	13	cc
12	para	ADP	13	mark
13	echar	VERB	1	conj
14	un	DET	15	det
15	cable	NOUN	13	obj
16	y	CCONJ	17	cc
17	hacer	VERB	13	conj
18	la	DET	19	det
19	existencia	NOUN	17	obj
20	más	ADV	21	advmod
21	fácil	ADJ	17	obj
22	a	ADP	23	case
23	gente	NOUN	17	obj
24	parcial	ADV	27	advmod
25	o	CCONJ	26	cc
26	totalmente	ADV	24	conj
27	impedida	ADJ	23	amod
28	,	PUNCT	32	punct
29	como	SCONJ	32	case
30	es	NOUN	29	fixed
31	el	DET	32	det
32	caso	NOUN	23	nmod
33	del	ADP	34	case
34	doctor	NOUN	32	nmod
35	Meagher	PROPN	34	appos
36	.	PUNCT	1	punct