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:
Y es por ahí por donde debemos avanzar: más medios para investigarla y, sobre todo, más servicios para atender a este tipo de enfermos y sus familias.
Postion	Tokenization
1	Y
2	es
3	por
4	ahí
5	por
6	donde
7	debemos
8	avanzar
9	:
10	más
11	medios
12	para
13	investigarla
14	investigar
15	la
16	y
17	,
18	sobre
19	todo
20	,
21	más
22	servicios
23	para
24	atender
25	a
26	este
27	tipo
28	de
29	enfermos
30	y
31	sus
32	familias
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	4	advmod
2	es	AUX	4	cop
3	por	ADP	4	case
4	ahí	ADV	0	root
5	por	ADP	6	case
6	donde	PRON	8	obl
7	debemos	AUX	8	aux
8	avanzar	VERB	4	advcl
9	:	PUNCT	11	punct
10	más	ADV	11	advmod
11	medios	NOUN	4	obl
12	para	ADP	13	mark
13	investigarla	_	None	_
14	investigar	VERB	11	acl
15	la	PRON	13	obj
16	y	CCONJ	21	cc
17	,	PUNCT	17	punct
18	sobre	ADP	21	advmod
19	todo	PRON	17	fixed
20	,	PUNCT	17	punct
21	más	ADV	21	advmod
22	servicios	NOUN	11	conj
23	para	ADP	23	mark
24	atender	VERB	21	acl
25	a	ADP	26	case
26	este	DET	26	det
27	tipo	NOUN	23	obj
28	de	ADP	28	case
29	enfermos	NOUN	26	nmod
30	y	CCONJ	31	cc
31	sus	DET	31	det
32	familias	NOUN	26	conj
33	.	PUNCT	4	punct