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:
El adolescente llegó a su casa malherido y su familia, que lleva 23 años afincada en la ciudad, le llevó al Hospital de Sabadell.
Postion	Tokenization
1	El
2	adolescente
3	llegó
4	a
5	su
6	casa
7	malherido
8	y
9	su
10	familia
11	,
12	que
13	lleva
14	23
15	años
16	afincada
17	en
18	la
19	ciudad
20	,
21	le
22	llevó
23	al
24	Hospital
25	de
26	Sabadell
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	adolescente	NOUN	3	nsubj
3	llegó	VERB	0	root
4	a	ADP	6	case
5	su	DET	6	det
6	casa	NOUN	3	obl
7	malherido	ADJ	3	obj
8	y	CCONJ	22	cc
9	su	DET	10	det
10	familia	NOUN	22	nsubj
11	,	PUNCT	13	punct
12	que	PRON	13	nsubj
13	lleva	VERB	10	acl
14	23	NUM	15	nummod
15	años	NOUN	13	obj
16	afincada	ADJ	13	obj
17	en	ADP	19	case
18	la	DET	19	det
19	ciudad	NOUN	16	obl
20	,	PUNCT	13	punct
21	le	PRON	22	obj
22	llevó	VERB	3	conj
23	al	ADP	24	case
24	Hospital	PROPN	22	iobj
25	de	ADP	26	case
26	Sabadell	PROPN	24	flat
27	.	PUNCT	3	punct