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 heridos precisó 109 días para su curación, mientras que el otro sufre como secuelas limitación al flexionar la rodilla derecha y una deformidad en la clavícula izquierda.
Postion	Tokenization
1	Uno
2	de
3	los
4	heridos
5	precisó
6	109
7	días
8	para
9	su
10	curación
11	,
12	mientras
13	que
14	el
15	otro
16	sufre
17	como
18	secuelas
19	limitación
20	al
21	flexionar
22	la
23	rodilla
24	derecha
25	y
26	una
27	deformidad
28	en
29	la
30	clavícula
31	izquierda
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Uno	PRON	5	nsubj
2	de	ADP	4	case
3	los	DET	4	det
4	heridos	NOUN	1	nmod
5	precisó	VERB	12	parataxis
6	109	NUM	7	nummod
7	días	NOUN	5	obj
8	para	ADP	10	case
9	su	DET	10	det
10	curación	NOUN	5	obl
11	,	PUNCT	12	punct
12	mientras	CCONJ	0	root
13	que	SCONJ	12	fixed
14	el	DET	15	det
15	otro	PRON	16	nsubj
16	sufre	VERB	12	parataxis
17	como	SCONJ	18	mark
18	secuelas	NOUN	16	obl
19	limitación	NOUN	16	obj
20	al	ADP	21	mark
21	flexionar	VERB	19	acl
22	la	DET	23	det
23	rodilla	NOUN	21	obj
24	derecha	ADJ	23	amod
25	y	CCONJ	27	cc
26	una	DET	27	det
27	deformidad	NOUN	19	conj
28	en	ADP	30	case
29	la	DET	30	det
30	clavícula	NOUN	27	nmod
31	izquierda	ADJ	30	amod
32	.	PUNCT	12	punct