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:
También sé otras cosas de menor cuantía: sé que seguirán muriendo niños a millones en este 94 muy lejos de mi barrio de forma que, si nadie pone de moda el tema, la cosa pasará dulcemente inadvertida.
Postion	Tokenization
1	También
2	sé
3	otras
4	cosas
5	de
6	menor
7	cuantía
8	:
9	sé
10	que
11	seguirán
12	muriendo
13	niños
14	a
15	millones
16	en
17	este
18	94
19	muy
20	lejos
21	de
22	mi
23	barrio
24	de
25	forma
26	que
27	,
28	si
29	nadie
30	pone
31	de
32	moda
33	el
34	tema
35	,
36	la
37	cosa
38	pasará
39	dulcemente
40	inadvertida
41	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	sé	VERB	0	root
3	otras	DET	4	det
4	cosas	NOUN	2	obj
5	de	ADP	7	case
6	menor	ADJ	7	amod
7	cuantía	NOUN	4	nmod
8	:	PUNCT	9	punct
9	sé	VERB	4	acl
10	que	SCONJ	11	mark
11	seguirán	VERB	9	ccomp
12	muriendo	VERB	11	xcomp
13	niños	NOUN	11	nsubj
14	a	ADP	15	case
15	millones	NOUN	11	obl
16	en	ADP	18	case
17	este	PRON	18	nmod
18	94	NUM	11	obl
19	muy	ADV	20	advmod
20	lejos	ADV	11	advmod
21	de	ADP	23	case
22	mi	DET	23	det
23	barrio	NOUN	20	obl
24	de	ADP	38	mark
25	forma	NOUN	24	fixed
26	que	SCONJ	24	fixed
27	,	PUNCT	30	punct
28	si	SCONJ	30	mark
29	nadie	PRON	30	nsubj
30	pone	VERB	38	advcl
31	de	ADP	32	case
32	moda	NOUN	30	obj
33	el	DET	34	det
34	tema	NOUN	30	obj
35	,	PUNCT	30	punct
36	la	DET	37	det
37	cosa	NOUN	38	nsubj
38	pasará	VERB	12	advcl
39	dulcemente	ADV	40	advmod
40	inadvertida	ADJ	38	obj
41	.	PUNCT	2	punct