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:
San Francisco was settled in the 19th and 20th century by mainly European immigrants except for some Asian workers who were manual laborers.
Postion	Tokenization
1	San
2	Francisco
3	was
4	settled
5	in
6	the
7	19th
8	and
9	20th
10	century
11	by
12	mainly
13	European
14	immigrants
15	except
16	for
17	some
18	Asian
19	workers
20	who
21	were
22	manual
23	laborers
24	.
Position	Tokenization	UPOS	Head	Deprel
1	San	PROPN	4	nsubj:pass
2	Francisco	PROPN	1	flat
3	was	AUX	4	aux:pass
4	settled	VERB	0	root
5	in	ADP	10	case
6	the	DET	10	det
7	19th	ADJ	10	amod
8	and	CCONJ	9	cc
9	20th	ADJ	7	conj
10	century	NOUN	4	obl
11	by	ADP	14	case
12	mainly	ADV	13	advmod
13	European	ADJ	14	amod
14	immigrants	NOUN	4	obl
15	except	ADP	19	case
16	for	ADP	19	case
17	some	DET	19	det
18	Asian	ADJ	19	amod
19	workers	NOUN	14	nmod
20	who	PRON	23	nsubj
21	were	AUX	23	cop
22	manual	ADJ	23	amod
23	laborers	NOUN	19	acl:relcl
24	.	PUNCT	4	punct