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:
Algo así ocurrió, creo, en San Francisco, donde la población china era una de las más longevas del mundo, alcanzando incluso los 160 años, hasta que las autoridades tiraron del hilo.
Postion	Tokenization
1	Algo
2	así
3	ocurrió
4	,
5	creo
6	,
7	en
8	San
9	Francisco
10	,
11	donde
12	la
13	población
14	china
15	era
16	una
17	de
18	las
19	más
20	longevas
21	del
22	mundo
23	,
24	alcanzando
25	incluso
26	los
27	160
28	años
29	,
30	hasta
31	que
32	las
33	autoridades
34	tiraron
35	del
36	hilo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Algo	PRON	3	nsubj
2	así	ADV	1	advmod
3	ocurrió	VERB	0	root
4	,	PUNCT	5	punct
5	creo	VERB	3	parataxis
6	,	PUNCT	5	punct
7	en	ADP	8	case
8	San	PROPN	3	obl
9	Francisco	PROPN	8	flat
10	,	PUNCT	16	punct
11	donde	PRON	16	obl
12	la	DET	13	det
13	población	NOUN	16	nsubj
14	china	ADJ	13	amod
15	era	AUX	16	cop
16	una	PRON	8	acl
17	de	ADP	20	case
18	las	DET	20	det
19	más	ADV	20	advmod
20	longevas	ADJ	16	amod
21	del	ADP	22	case
22	mundo	NOUN	20	nmod
23	,	PUNCT	24	punct
24	alcanzando	VERB	16	advcl
25	incluso	ADV	24	advmod
26	los	DET	27	det
27	160	NUM	28	nummod
28	años	NOUN	24	obj
29	,	PUNCT	34	punct
30	hasta	ADP	34	mark
31	que	SCONJ	34	mark
32	las	DET	33	det
33	autoridades	NOUN	34	nsubj
34	tiraron	VERB	3	advcl
35	del	ADP	36	case
36	hilo	NOUN	34	obj
37	.	PUNCT	3	punct