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:
Uno de los más modernos tratamientos anticalvicie se compone precisamente de un liofilizado de líquido ammiótico, el que protege a los fetos, unido a un preparado azufrado de origen orgánico llamado S Carboximetilcisteina.
Postion	Tokenization
1	Uno
2	de
3	los
4	más
5	modernos
6	tratamientos
7	anticalvicie
8	se
9	compone
10	precisamente
11	de
12	un
13	liofilizado
14	de
15	líquido
16	ammiótico
17	,
18	el
19	que
20	protege
21	a
22	los
23	fetos
24	,
25	unido
26	a
27	un
28	preparado
29	azufrado
30	de
31	origen
32	orgánico
33	llamado
34	S
35	Carboximetilcisteina
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Uno	PRON	9	nsubj
2	de	ADP	6	case
3	los	DET	6	det
4	más	ADV	5	advmod
5	modernos	ADJ	6	amod
6	tratamientos	NOUN	1	nmod
7	anticalvicie	ADJ	6	amod
8	se	PRON	9	expl:pv
9	compone	VERB	0	root
10	precisamente	ADV	9	advmod
11	de	ADP	13	case
12	un	DET	13	det
13	liofilizado	ADJ	9	obj
14	de	ADP	15	case
15	líquido	NOUN	13	obl
16	ammiótico	ADJ	15	amod
17	,	PUNCT	20	punct
18	el	DET	20	det
19	que	PRON	20	nsubj
20	protege	VERB	15	appos
21	a	ADP	23	case
22	los	DET	23	det
23	fetos	NOUN	20	obj
24	,	PUNCT	20	punct
25	unido	ADJ	13	amod
26	a	ADP	28	case
27	un	DET	28	det
28	preparado	NOUN	13	obj
29	azufrado	ADJ	28	amod
30	de	ADP	31	case
31	origen	NOUN	28	nmod
32	orgánico	ADJ	31	amod
33	llamado	ADJ	28	amod
34	S	PROPN	33	obj
35	Carboximetilcisteina	PROPN	34	flat
36	.	PUNCT	9	punct